{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a8a7562d-954e-4e19-92c2-fd33a0e767ee",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T06:56:26.089252Z",
     "iopub.status.busy": "2025-10-31T06:56:26.082834Z",
     "iopub.status.idle": "2025-10-31T06:56:26.323477Z",
     "shell.execute_reply": "2025-10-31T06:56:26.319993Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "载入需要的程辑包：grid\n",
      "\n",
      "载入需要的程辑包：futile.logger\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(clusterProfiler)\n",
    "library(org.Dm.eg.db)\n",
    "library(dplyr)\n",
    "library(ggplot2)\n",
    "library(VennDiagram)\n",
    "\n",
    "plotTheme = theme(\n",
    "    axis.title = element_text(family = \"Arial\", face = \"bold\", size = 16),\n",
    "    legend.title = element_text(family = \"Arial\", face = \"bold\", size = 16), \n",
    "    text = element_text(family = \"Arial\",size = 14))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f4ce4c0b-0956-4f53-bb05-cc5045bd604b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T06:43:46.410518Z",
     "iopub.status.busy": "2025-10-31T06:43:46.406051Z",
     "iopub.status.idle": "2025-10-31T06:43:46.439608Z",
     "shell.execute_reply": "2025-10-31T06:43:46.435569Z"
    }
   },
   "outputs": [],
   "source": [
    "anaGO = function(geneids,prefix){\n",
    "    res = enrichGO(geneids,OrgDb = 'org.Dm.eg.db',keyType = 'ENTREZID',ont = 'ALL',readable = TRUE,maxGSSize = 300)\n",
    "    if(!is.null(res)){\n",
    "        write.csv(res@result,file = paste0(prefix,'_GO.csv'))\n",
    "        resTable = res@result[order(res@result$p.adjust),]\n",
    "        resTable = resTable %>% group_by(ONTOLOGY) %>% top_n(-p.adjust,n = 10)\n",
    "        p = ggplot(data = resTable,\n",
    "                   aes(\n",
    "                       x = reorder(Description,-p.adjust),\n",
    "                       y = -log10(p.adjust),\n",
    "                       fill = ONTOLOGY,\n",
    "                       label = reorder(Count,-p.adjust)\n",
    "                    )\n",
    "            )+\n",
    "            geom_bar(stat = 'identity')+\n",
    "            geom_text(stat = 'identity',hjust = 1.2)+\n",
    "            coord_flip()+\n",
    "            facet_grid(ONTOLOGY~.,scales = 'free',space = 'free')+\n",
    "            labs(x = '',fill = '')+\n",
    "            theme_classic()+\n",
    "            scale_fill_manual(\n",
    "                breaks = c('BP','CC','MF'),\n",
    "                labels = c('BP','CC','MF'),\n",
    "                values = c('#ffc64b','#66CC33','#33ccff')\n",
    "            )+\n",
    "            theme(strip.text = element_blank(),\n",
    "                  axis.line.y = element_blank(),\n",
    "                  axis.ticks.y = element_blank(),\n",
    "                  axis.title.x = element_text(size = 14),\n",
    "                  text = element_text(size = 12),\n",
    "                  axis.text = element_text(size = 12))+plotTheme\n",
    "        ggsave(filename = paste0(prefix,'_GO.png'),plot = p,dpi = 300,width = 10,height = 8,bg = 'white')\n",
    "        p\n",
    "    }else{\n",
    "        print(paste0('No GO terms enriched in ',prefix,'!!!!'))\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ed9b722d-4176-4a58-9a7b-9250f91a6a50",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T06:35:01.735306Z",
     "iopub.status.busy": "2025-10-31T06:35:01.731125Z",
     "iopub.status.idle": "2025-10-31T06:35:02.012842Z",
     "shell.execute_reply": "2025-10-31T06:35:02.008831Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 10634 × 4</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>names</th><th scope=col>pvals_adj</th><th scope=col>logfoldchanges</th><th scope=col>status</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>0</th><td>His3.3B       </td><td>0</td><td>2.4733067</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>1</th><td>RpS18         </td><td>0</td><td>0.4799658</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>2</th><td>l(2)gl        </td><td>0</td><td>1.9522247</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>3</th><td>RpL9          </td><td>0</td><td>0.3843325</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>4</th><td>UbcE2H        </td><td>0</td><td>3.0332344</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>5</th><td>larp          </td><td>0</td><td>2.2568846</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>6</th><td>Imp           </td><td>0</td><td>1.3166707</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>7</th><td>Cdc42         </td><td>0</td><td>2.4474810</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>8</th><td>rhea          </td><td>0</td><td>1.8622605</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>9</th><td>kibra         </td><td>0</td><td>2.0063440</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>10</th><td>msn           </td><td>0</td><td>1.9221345</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>11</th><td>Akt1          </td><td>0</td><td>1.8239098</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>12</th><td>caps          </td><td>0</td><td>1.3298805</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>13</th><td>pigs          </td><td>0</td><td>2.1110914</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>14</th><td>RpS16         </td><td>0</td><td>0.2038773</td><td>stable</td></tr>\n",
       "\t<tr><th scope=row>15</th><td>lncRNA:CR42862</td><td>0</td><td>1.6077967</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>16</th><td>Hrb27C        </td><td>0</td><td>0.8023477</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>17</th><td>kst           </td><td>0</td><td>1.8636534</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>18</th><td>CHES-1-like   </td><td>0</td><td>1.6736544</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>19</th><td>CG6700        </td><td>0</td><td>2.4572175</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>20</th><td>Stat92E       </td><td>0</td><td>1.4018825</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>21</th><td>kis           </td><td>0</td><td>1.7723155</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>22</th><td>l(3)L1231     </td><td>0</td><td>1.3570730</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>23</th><td>cv-c          </td><td>0</td><td>1.0123887</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>24</th><td>mys           </td><td>0</td><td>1.1617717</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>25</th><td>shot          </td><td>0</td><td>1.1602663</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>26</th><td>Map205        </td><td>0</td><td>1.6720357</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>27</th><td>Dys           </td><td>0</td><td>1.5247252</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>28</th><td>lncRNA:CR34335</td><td>0</td><td>0.5587293</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>29</th><td>hdc           </td><td>0</td><td>1.0355312</td><td>up    </td></tr>\n",
       "\t<tr><th scope=row>⋮</th><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><th scope=row>10604</th><td>RpL6     </td><td>0</td><td>-0.5869036</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10605</th><td>RpS28b   </td><td>0</td><td>-0.6134545</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10606</th><td>RpS3A    </td><td>0</td><td>-0.7410227</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10607</th><td>RpL18    </td><td>0</td><td>-0.6139038</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10608</th><td>RpS20    </td><td>0</td><td>-0.7160333</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10609</th><td>RpL13A   </td><td>0</td><td>-0.5750531</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10610</th><td>RpS21    </td><td>0</td><td>-0.6162846</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10611</th><td>eEF1gamma</td><td>0</td><td>-1.2351791</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10612</th><td>RpL23    </td><td>0</td><td>-0.5849683</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10613</th><td>RpS7     </td><td>0</td><td>-0.5962536</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10614</th><td>RpL38    </td><td>0</td><td>-1.0536221</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10615</th><td>RpL36    </td><td>0</td><td>-0.6665472</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10616</th><td>RpS24    </td><td>0</td><td>-0.7449768</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10617</th><td>RpS19a   </td><td>0</td><td>-1.0032190</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10618</th><td>RpL30    </td><td>0</td><td>-1.0786418</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10619</th><td>RpL18A   </td><td>0</td><td>-0.5842592</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10620</th><td>RpS27    </td><td>0</td><td>-0.6730401</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10621</th><td>RpL39    </td><td>0</td><td>-0.8620096</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10622</th><td>RpL29    </td><td>0</td><td>-0.8505455</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10623</th><td>RpS5a    </td><td>0</td><td>-0.8037218</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10624</th><td>RpS17    </td><td>0</td><td>-1.1255785</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10625</th><td>RpL5     </td><td>0</td><td>-1.8739332</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10626</th><td>RpL23A   </td><td>0</td><td>-0.9589633</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10627</th><td>RpL37A   </td><td>0</td><td>-0.8525162</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10628</th><td>RpS13    </td><td>0</td><td>-0.8740362</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10629</th><td>RpS25    </td><td>0</td><td>-0.7977920</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10630</th><td>RpL24    </td><td>0</td><td>-0.9138611</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10631</th><td>RpL11    </td><td>0</td><td>-1.1803279</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10632</th><td>RpL40    </td><td>0</td><td>-1.0874639</td><td>down</td></tr>\n",
       "\t<tr><th scope=row>10633</th><td>RpL22    </td><td>0</td><td>-2.3085504</td><td>down</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 10634 × 4\n",
       "\\begin{tabular}{r|llll}\n",
       "  & names & pvals\\_adj & logfoldchanges & status\\\\\n",
       "  & <chr> & <dbl> & <dbl> & <chr>\\\\\n",
       "\\hline\n",
       "\t0 & His3.3B        & 0 & 2.4733067 & up    \\\\\n",
       "\t1 & RpS18          & 0 & 0.4799658 & up    \\\\\n",
       "\t2 & l(2)gl         & 0 & 1.9522247 & up    \\\\\n",
       "\t3 & RpL9           & 0 & 0.3843325 & up    \\\\\n",
       "\t4 & UbcE2H         & 0 & 3.0332344 & up    \\\\\n",
       "\t5 & larp           & 0 & 2.2568846 & up    \\\\\n",
       "\t6 & Imp            & 0 & 1.3166707 & up    \\\\\n",
       "\t7 & Cdc42          & 0 & 2.4474810 & up    \\\\\n",
       "\t8 & rhea           & 0 & 1.8622605 & up    \\\\\n",
       "\t9 & kibra          & 0 & 2.0063440 & up    \\\\\n",
       "\t10 & msn            & 0 & 1.9221345 & up    \\\\\n",
       "\t11 & Akt1           & 0 & 1.8239098 & up    \\\\\n",
       "\t12 & caps           & 0 & 1.3298805 & up    \\\\\n",
       "\t13 & pigs           & 0 & 2.1110914 & up    \\\\\n",
       "\t14 & RpS16          & 0 & 0.2038773 & stable\\\\\n",
       "\t15 & lncRNA:CR42862 & 0 & 1.6077967 & up    \\\\\n",
       "\t16 & Hrb27C         & 0 & 0.8023477 & up    \\\\\n",
       "\t17 & kst            & 0 & 1.8636534 & up    \\\\\n",
       "\t18 & CHES-1-like    & 0 & 1.6736544 & up    \\\\\n",
       "\t19 & CG6700         & 0 & 2.4572175 & up    \\\\\n",
       "\t20 & Stat92E        & 0 & 1.4018825 & up    \\\\\n",
       "\t21 & kis            & 0 & 1.7723155 & up    \\\\\n",
       "\t22 & l(3)L1231      & 0 & 1.3570730 & up    \\\\\n",
       "\t23 & cv-c           & 0 & 1.0123887 & up    \\\\\n",
       "\t24 & mys            & 0 & 1.1617717 & up    \\\\\n",
       "\t25 & shot           & 0 & 1.1602663 & up    \\\\\n",
       "\t26 & Map205         & 0 & 1.6720357 & up    \\\\\n",
       "\t27 & Dys            & 0 & 1.5247252 & up    \\\\\n",
       "\t28 & lncRNA:CR34335 & 0 & 0.5587293 & up    \\\\\n",
       "\t29 & hdc            & 0 & 1.0355312 & up    \\\\\n",
       "\t⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t10604 & RpL6      & 0 & -0.5869036 & down\\\\\n",
       "\t10605 & RpS28b    & 0 & -0.6134545 & down\\\\\n",
       "\t10606 & RpS3A     & 0 & -0.7410227 & down\\\\\n",
       "\t10607 & RpL18     & 0 & -0.6139038 & down\\\\\n",
       "\t10608 & RpS20     & 0 & -0.7160333 & down\\\\\n",
       "\t10609 & RpL13A    & 0 & -0.5750531 & down\\\\\n",
       "\t10610 & RpS21     & 0 & -0.6162846 & down\\\\\n",
       "\t10611 & eEF1gamma & 0 & -1.2351791 & down\\\\\n",
       "\t10612 & RpL23     & 0 & -0.5849683 & down\\\\\n",
       "\t10613 & RpS7      & 0 & -0.5962536 & down\\\\\n",
       "\t10614 & RpL38     & 0 & -1.0536221 & down\\\\\n",
       "\t10615 & RpL36     & 0 & -0.6665472 & down\\\\\n",
       "\t10616 & RpS24     & 0 & -0.7449768 & down\\\\\n",
       "\t10617 & RpS19a    & 0 & -1.0032190 & down\\\\\n",
       "\t10618 & RpL30     & 0 & -1.0786418 & down\\\\\n",
       "\t10619 & RpL18A    & 0 & -0.5842592 & down\\\\\n",
       "\t10620 & RpS27     & 0 & -0.6730401 & down\\\\\n",
       "\t10621 & RpL39     & 0 & -0.8620096 & down\\\\\n",
       "\t10622 & RpL29     & 0 & -0.8505455 & down\\\\\n",
       "\t10623 & RpS5a     & 0 & -0.8037218 & down\\\\\n",
       "\t10624 & RpS17     & 0 & -1.1255785 & down\\\\\n",
       "\t10625 & RpL5      & 0 & -1.8739332 & down\\\\\n",
       "\t10626 & RpL23A    & 0 & -0.9589633 & down\\\\\n",
       "\t10627 & RpL37A    & 0 & -0.8525162 & down\\\\\n",
       "\t10628 & RpS13     & 0 & -0.8740362 & down\\\\\n",
       "\t10629 & RpS25     & 0 & -0.7977920 & down\\\\\n",
       "\t10630 & RpL24     & 0 & -0.9138611 & down\\\\\n",
       "\t10631 & RpL11     & 0 & -1.1803279 & down\\\\\n",
       "\t10632 & RpL40     & 0 & -1.0874639 & down\\\\\n",
       "\t10633 & RpL22     & 0 & -2.3085504 & down\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 10634 × 4\n",
       "\n",
       "| <!--/--> | names &lt;chr&gt; | pvals_adj &lt;dbl&gt; | logfoldchanges &lt;dbl&gt; | status &lt;chr&gt; |\n",
       "|---|---|---|---|---|\n",
       "| 0 | His3.3B        | 0 | 2.4733067 | up     |\n",
       "| 1 | RpS18          | 0 | 0.4799658 | up     |\n",
       "| 2 | l(2)gl         | 0 | 1.9522247 | up     |\n",
       "| 3 | RpL9           | 0 | 0.3843325 | up     |\n",
       "| 4 | UbcE2H         | 0 | 3.0332344 | up     |\n",
       "| 5 | larp           | 0 | 2.2568846 | up     |\n",
       "| 6 | Imp            | 0 | 1.3166707 | up     |\n",
       "| 7 | Cdc42          | 0 | 2.4474810 | up     |\n",
       "| 8 | rhea           | 0 | 1.8622605 | up     |\n",
       "| 9 | kibra          | 0 | 2.0063440 | up     |\n",
       "| 10 | msn            | 0 | 1.9221345 | up     |\n",
       "| 11 | Akt1           | 0 | 1.8239098 | up     |\n",
       "| 12 | caps           | 0 | 1.3298805 | up     |\n",
       "| 13 | pigs           | 0 | 2.1110914 | up     |\n",
       "| 14 | RpS16          | 0 | 0.2038773 | stable |\n",
       "| 15 | lncRNA:CR42862 | 0 | 1.6077967 | up     |\n",
       "| 16 | Hrb27C         | 0 | 0.8023477 | up     |\n",
       "| 17 | kst            | 0 | 1.8636534 | up     |\n",
       "| 18 | CHES-1-like    | 0 | 1.6736544 | up     |\n",
       "| 19 | CG6700         | 0 | 2.4572175 | up     |\n",
       "| 20 | Stat92E        | 0 | 1.4018825 | up     |\n",
       "| 21 | kis            | 0 | 1.7723155 | up     |\n",
       "| 22 | l(3)L1231      | 0 | 1.3570730 | up     |\n",
       "| 23 | cv-c           | 0 | 1.0123887 | up     |\n",
       "| 24 | mys            | 0 | 1.1617717 | up     |\n",
       "| 25 | shot           | 0 | 1.1602663 | up     |\n",
       "| 26 | Map205         | 0 | 1.6720357 | up     |\n",
       "| 27 | Dys            | 0 | 1.5247252 | up     |\n",
       "| 28 | lncRNA:CR34335 | 0 | 0.5587293 | up     |\n",
       "| 29 | hdc            | 0 | 1.0355312 | up     |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| 10604 | RpL6      | 0 | -0.5869036 | down |\n",
       "| 10605 | RpS28b    | 0 | -0.6134545 | down |\n",
       "| 10606 | RpS3A     | 0 | -0.7410227 | down |\n",
       "| 10607 | RpL18     | 0 | -0.6139038 | down |\n",
       "| 10608 | RpS20     | 0 | -0.7160333 | down |\n",
       "| 10609 | RpL13A    | 0 | -0.5750531 | down |\n",
       "| 10610 | RpS21     | 0 | -0.6162846 | down |\n",
       "| 10611 | eEF1gamma | 0 | -1.2351791 | down |\n",
       "| 10612 | RpL23     | 0 | -0.5849683 | down |\n",
       "| 10613 | RpS7      | 0 | -0.5962536 | down |\n",
       "| 10614 | RpL38     | 0 | -1.0536221 | down |\n",
       "| 10615 | RpL36     | 0 | -0.6665472 | down |\n",
       "| 10616 | RpS24     | 0 | -0.7449768 | down |\n",
       "| 10617 | RpS19a    | 0 | -1.0032190 | down |\n",
       "| 10618 | RpL30     | 0 | -1.0786418 | down |\n",
       "| 10619 | RpL18A    | 0 | -0.5842592 | down |\n",
       "| 10620 | RpS27     | 0 | -0.6730401 | down |\n",
       "| 10621 | RpL39     | 0 | -0.8620096 | down |\n",
       "| 10622 | RpL29     | 0 | -0.8505455 | down |\n",
       "| 10623 | RpS5a     | 0 | -0.8037218 | down |\n",
       "| 10624 | RpS17     | 0 | -1.1255785 | down |\n",
       "| 10625 | RpL5      | 0 | -1.8739332 | down |\n",
       "| 10626 | RpL23A    | 0 | -0.9589633 | down |\n",
       "| 10627 | RpL37A    | 0 | -0.8525162 | down |\n",
       "| 10628 | RpS13     | 0 | -0.8740362 | down |\n",
       "| 10629 | RpS25     | 0 | -0.7977920 | down |\n",
       "| 10630 | RpL24     | 0 | -0.9138611 | down |\n",
       "| 10631 | RpL11     | 0 | -1.1803279 | down |\n",
       "| 10632 | RpL40     | 0 | -1.0874639 | down |\n",
       "| 10633 | RpL22     | 0 | -2.3085504 | down |\n",
       "\n"
      ],
      "text/plain": [
       "      names          pvals_adj logfoldchanges status\n",
       "0     His3.3B        0         2.4733067      up    \n",
       "1     RpS18          0         0.4799658      up    \n",
       "2     l(2)gl         0         1.9522247      up    \n",
       "3     RpL9           0         0.3843325      up    \n",
       "4     UbcE2H         0         3.0332344      up    \n",
       "5     larp           0         2.2568846      up    \n",
       "6     Imp            0         1.3166707      up    \n",
       "7     Cdc42          0         2.4474810      up    \n",
       "8     rhea           0         1.8622605      up    \n",
       "9     kibra          0         2.0063440      up    \n",
       "10    msn            0         1.9221345      up    \n",
       "11    Akt1           0         1.8239098      up    \n",
       "12    caps           0         1.3298805      up    \n",
       "13    pigs           0         2.1110914      up    \n",
       "14    RpS16          0         0.2038773      stable\n",
       "15    lncRNA:CR42862 0         1.6077967      up    \n",
       "16    Hrb27C         0         0.8023477      up    \n",
       "17    kst            0         1.8636534      up    \n",
       "18    CHES-1-like    0         1.6736544      up    \n",
       "19    CG6700         0         2.4572175      up    \n",
       "20    Stat92E        0         1.4018825      up    \n",
       "21    kis            0         1.7723155      up    \n",
       "22    l(3)L1231      0         1.3570730      up    \n",
       "23    cv-c           0         1.0123887      up    \n",
       "24    mys            0         1.1617717      up    \n",
       "25    shot           0         1.1602663      up    \n",
       "26    Map205         0         1.6720357      up    \n",
       "27    Dys            0         1.5247252      up    \n",
       "28    lncRNA:CR34335 0         0.5587293      up    \n",
       "29    hdc            0         1.0355312      up    \n",
       "⋮     ⋮              ⋮         ⋮              ⋮     \n",
       "10604 RpL6           0         -0.5869036     down  \n",
       "10605 RpS28b         0         -0.6134545     down  \n",
       "10606 RpS3A          0         -0.7410227     down  \n",
       "10607 RpL18          0         -0.6139038     down  \n",
       "10608 RpS20          0         -0.7160333     down  \n",
       "10609 RpL13A         0         -0.5750531     down  \n",
       "10610 RpS21          0         -0.6162846     down  \n",
       "10611 eEF1gamma      0         -1.2351791     down  \n",
       "10612 RpL23          0         -0.5849683     down  \n",
       "10613 RpS7           0         -0.5962536     down  \n",
       "10614 RpL38          0         -1.0536221     down  \n",
       "10615 RpL36          0         -0.6665472     down  \n",
       "10616 RpS24          0         -0.7449768     down  \n",
       "10617 RpS19a         0         -1.0032190     down  \n",
       "10618 RpL30          0         -1.0786418     down  \n",
       "10619 RpL18A         0         -0.5842592     down  \n",
       "10620 RpS27          0         -0.6730401     down  \n",
       "10621 RpL39          0         -0.8620096     down  \n",
       "10622 RpL29          0         -0.8505455     down  \n",
       "10623 RpS5a          0         -0.8037218     down  \n",
       "10624 RpS17          0         -1.1255785     down  \n",
       "10625 RpL5           0         -1.8739332     down  \n",
       "10626 RpL23A         0         -0.9589633     down  \n",
       "10627 RpL37A         0         -0.8525162     down  \n",
       "10628 RpS13          0         -0.8740362     down  \n",
       "10629 RpS25          0         -0.7977920     down  \n",
       "10630 RpL24          0         -0.9138611     down  \n",
       "10631 RpL11          0         -1.1803279     down  \n",
       "10632 RpL40          0         -1.0874639     down  \n",
       "10633 RpL22          0         -2.3085504     down  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pa14DEG = read.csv('pa14_DEG.csv',header = TRUE,row.names = 1)\n",
    "pa14DEG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3fac927a-4d08-4c97-b940-ded6e083f524",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T06:35:39.732469Z",
     "iopub.status.busy": "2025-10-31T06:35:39.728821Z",
     "iopub.status.idle": "2025-10-31T06:35:40.297443Z",
     "shell.execute_reply": "2025-10-31T06:35:40.292940Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'select()' returned 1:1 mapping between keys and columns\n",
      "\n",
      "Warning message in bitr(down, fromType = \"SYMBOL\", toType = \"ENTREZID\", OrgDb = \"org.Dm.eg.db\", :\n",
      "“5.61% of input gene IDs are fail to map...”\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"72 genes failed to map.\"\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 72 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SYMBOL</th><th scope=col>ENTREZID</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>29</th><td>Strumpellin   </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>48</th><td>Sin           </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>62</th><td>CG4662        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>65</th><td>CG9723        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>73</th><td>CG11453       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>148</th><td>Rcp           </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>159</th><td>CG5287        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>164</th><td>lncRNA:CR42875</td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>165</th><td>CG10880       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>195</th><td>CG16979       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>198</th><td>CG5027        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>229</th><td>CG5037        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>235</th><td>CG7009        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>239</th><td>RpI12         </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>319</th><td>CG1427        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>327</th><td>CG5220        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>352</th><td>CHORD         </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>355</th><td>CG6388        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>367</th><td>CG10960       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>371</th><td>CG15440       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>375</th><td>CG7638        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>376</th><td>CG7206        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>385</th><td>CG2911        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>421</th><td>CG31357       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>429</th><td>CG8311        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>438</th><td>CG5734        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>452</th><td>CG10166       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>468</th><td>CG17337       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>477</th><td>l(2)37Cg      </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>493</th><td>CG3756        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>⋮</th><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><th scope=row>697</th><td>CG9911        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>728</th><td>CG9253        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>755</th><td>CG5599        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>779</th><td>Rpb10         </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>791</th><td>CG11137       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>794</th><td>CG9577        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>801</th><td>CG7470        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>814</th><td>CG5044        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>826</th><td>CG5028        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>845</th><td>CG33977       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>849</th><td>CG17278       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>879</th><td>CG8397        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>884</th><td>CG9065        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>886</th><td>CG10103       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>920</th><td>CG3678        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>922</th><td>CG8974        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>925</th><td>CG2862        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>982</th><td>lncRNA:CR43051</td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>996</th><td>TMS1          </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1042</th><td>CG10932       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1066</th><td>CG7834        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1069</th><td>Rpb12         </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1076</th><td>CG12163       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1090</th><td>CG6084        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1094</th><td>CG5590        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1098</th><td>smt3          </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1119</th><td>Eip55E        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1135</th><td>Thiolase      </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1156</th><td>CtsB1         </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>1183</th><td>CG7414        </td><td>NA</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 72 × 2\n",
       "\\begin{tabular}{r|ll}\n",
       "  & SYMBOL & ENTREZID\\\\\n",
       "  & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\t29 & Strumpellin    & NA\\\\\n",
       "\t48 & Sin            & NA\\\\\n",
       "\t62 & CG4662         & NA\\\\\n",
       "\t65 & CG9723         & NA\\\\\n",
       "\t73 & CG11453        & NA\\\\\n",
       "\t148 & Rcp            & NA\\\\\n",
       "\t159 & CG5287         & NA\\\\\n",
       "\t164 & lncRNA:CR42875 & NA\\\\\n",
       "\t165 & CG10880        & NA\\\\\n",
       "\t195 & CG16979        & NA\\\\\n",
       "\t198 & CG5027         & NA\\\\\n",
       "\t229 & CG5037         & NA\\\\\n",
       "\t235 & CG7009         & NA\\\\\n",
       "\t239 & RpI12          & NA\\\\\n",
       "\t319 & CG1427         & NA\\\\\n",
       "\t327 & CG5220         & NA\\\\\n",
       "\t352 & CHORD          & NA\\\\\n",
       "\t355 & CG6388         & NA\\\\\n",
       "\t367 & CG10960        & NA\\\\\n",
       "\t371 & CG15440        & NA\\\\\n",
       "\t375 & CG7638         & NA\\\\\n",
       "\t376 & CG7206         & NA\\\\\n",
       "\t385 & CG2911         & NA\\\\\n",
       "\t421 & CG31357        & NA\\\\\n",
       "\t429 & CG8311         & NA\\\\\n",
       "\t438 & CG5734         & NA\\\\\n",
       "\t452 & CG10166        & NA\\\\\n",
       "\t468 & CG17337        & NA\\\\\n",
       "\t477 & l(2)37Cg       & NA\\\\\n",
       "\t493 & CG3756         & NA\\\\\n",
       "\t⋮ & ⋮ & ⋮\\\\\n",
       "\t697 & CG9911         & NA\\\\\n",
       "\t728 & CG9253         & NA\\\\\n",
       "\t755 & CG5599         & NA\\\\\n",
       "\t779 & Rpb10          & NA\\\\\n",
       "\t791 & CG11137        & NA\\\\\n",
       "\t794 & CG9577         & NA\\\\\n",
       "\t801 & CG7470         & NA\\\\\n",
       "\t814 & CG5044         & NA\\\\\n",
       "\t826 & CG5028         & NA\\\\\n",
       "\t845 & CG33977        & NA\\\\\n",
       "\t849 & CG17278        & NA\\\\\n",
       "\t879 & CG8397         & NA\\\\\n",
       "\t884 & CG9065         & NA\\\\\n",
       "\t886 & CG10103        & NA\\\\\n",
       "\t920 & CG3678         & NA\\\\\n",
       "\t922 & CG8974         & NA\\\\\n",
       "\t925 & CG2862         & NA\\\\\n",
       "\t982 & lncRNA:CR43051 & NA\\\\\n",
       "\t996 & TMS1           & NA\\\\\n",
       "\t1042 & CG10932        & NA\\\\\n",
       "\t1066 & CG7834         & NA\\\\\n",
       "\t1069 & Rpb12          & NA\\\\\n",
       "\t1076 & CG12163        & NA\\\\\n",
       "\t1090 & CG6084         & NA\\\\\n",
       "\t1094 & CG5590         & NA\\\\\n",
       "\t1098 & smt3           & NA\\\\\n",
       "\t1119 & Eip55E         & NA\\\\\n",
       "\t1135 & Thiolase       & NA\\\\\n",
       "\t1156 & CtsB1          & NA\\\\\n",
       "\t1183 & CG7414         & NA\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 72 × 2\n",
       "\n",
       "| <!--/--> | SYMBOL &lt;chr&gt; | ENTREZID &lt;chr&gt; |\n",
       "|---|---|---|\n",
       "| 29 | Strumpellin    | NA |\n",
       "| 48 | Sin            | NA |\n",
       "| 62 | CG4662         | NA |\n",
       "| 65 | CG9723         | NA |\n",
       "| 73 | CG11453        | NA |\n",
       "| 148 | Rcp            | NA |\n",
       "| 159 | CG5287         | NA |\n",
       "| 164 | lncRNA:CR42875 | NA |\n",
       "| 165 | CG10880        | NA |\n",
       "| 195 | CG16979        | NA |\n",
       "| 198 | CG5027         | NA |\n",
       "| 229 | CG5037         | NA |\n",
       "| 235 | CG7009         | NA |\n",
       "| 239 | RpI12          | NA |\n",
       "| 319 | CG1427         | NA |\n",
       "| 327 | CG5220         | NA |\n",
       "| 352 | CHORD          | NA |\n",
       "| 355 | CG6388         | NA |\n",
       "| 367 | CG10960        | NA |\n",
       "| 371 | CG15440        | NA |\n",
       "| 375 | CG7638         | NA |\n",
       "| 376 | CG7206         | NA |\n",
       "| 385 | CG2911         | NA |\n",
       "| 421 | CG31357        | NA |\n",
       "| 429 | CG8311         | NA |\n",
       "| 438 | CG5734         | NA |\n",
       "| 452 | CG10166        | NA |\n",
       "| 468 | CG17337        | NA |\n",
       "| 477 | l(2)37Cg       | NA |\n",
       "| 493 | CG3756         | NA |\n",
       "| ⋮ | ⋮ | ⋮ |\n",
       "| 697 | CG9911         | NA |\n",
       "| 728 | CG9253         | NA |\n",
       "| 755 | CG5599         | NA |\n",
       "| 779 | Rpb10          | NA |\n",
       "| 791 | CG11137        | NA |\n",
       "| 794 | CG9577         | NA |\n",
       "| 801 | CG7470         | NA |\n",
       "| 814 | CG5044         | NA |\n",
       "| 826 | CG5028         | NA |\n",
       "| 845 | CG33977        | NA |\n",
       "| 849 | CG17278        | NA |\n",
       "| 879 | CG8397         | NA |\n",
       "| 884 | CG9065         | NA |\n",
       "| 886 | CG10103        | NA |\n",
       "| 920 | CG3678         | NA |\n",
       "| 922 | CG8974         | NA |\n",
       "| 925 | CG2862         | NA |\n",
       "| 982 | lncRNA:CR43051 | NA |\n",
       "| 996 | TMS1           | NA |\n",
       "| 1042 | CG10932        | NA |\n",
       "| 1066 | CG7834         | NA |\n",
       "| 1069 | Rpb12          | NA |\n",
       "| 1076 | CG12163        | NA |\n",
       "| 1090 | CG6084         | NA |\n",
       "| 1094 | CG5590         | NA |\n",
       "| 1098 | smt3           | NA |\n",
       "| 1119 | Eip55E         | NA |\n",
       "| 1135 | Thiolase       | NA |\n",
       "| 1156 | CtsB1          | NA |\n",
       "| 1183 | CG7414         | NA |\n",
       "\n"
      ],
      "text/plain": [
       "     SYMBOL         ENTREZID\n",
       "29   Strumpellin    NA      \n",
       "48   Sin            NA      \n",
       "62   CG4662         NA      \n",
       "65   CG9723         NA      \n",
       "73   CG11453        NA      \n",
       "148  Rcp            NA      \n",
       "159  CG5287         NA      \n",
       "164  lncRNA:CR42875 NA      \n",
       "165  CG10880        NA      \n",
       "195  CG16979        NA      \n",
       "198  CG5027         NA      \n",
       "229  CG5037         NA      \n",
       "235  CG7009         NA      \n",
       "239  RpI12          NA      \n",
       "319  CG1427         NA      \n",
       "327  CG5220         NA      \n",
       "352  CHORD          NA      \n",
       "355  CG6388         NA      \n",
       "367  CG10960        NA      \n",
       "371  CG15440        NA      \n",
       "375  CG7638         NA      \n",
       "376  CG7206         NA      \n",
       "385  CG2911         NA      \n",
       "421  CG31357        NA      \n",
       "429  CG8311         NA      \n",
       "438  CG5734         NA      \n",
       "452  CG10166        NA      \n",
       "468  CG17337        NA      \n",
       "477  l(2)37Cg       NA      \n",
       "493  CG3756         NA      \n",
       "⋮    ⋮              ⋮       \n",
       "697  CG9911         NA      \n",
       "728  CG9253         NA      \n",
       "755  CG5599         NA      \n",
       "779  Rpb10          NA      \n",
       "791  CG11137        NA      \n",
       "794  CG9577         NA      \n",
       "801  CG7470         NA      \n",
       "814  CG5044         NA      \n",
       "826  CG5028         NA      \n",
       "845  CG33977        NA      \n",
       "849  CG17278        NA      \n",
       "879  CG8397         NA      \n",
       "884  CG9065         NA      \n",
       "886  CG10103        NA      \n",
       "920  CG3678         NA      \n",
       "922  CG8974         NA      \n",
       "925  CG2862         NA      \n",
       "982  lncRNA:CR43051 NA      \n",
       "996  TMS1           NA      \n",
       "1042 CG10932        NA      \n",
       "1066 CG7834         NA      \n",
       "1069 Rpb12          NA      \n",
       "1076 CG12163        NA      \n",
       "1090 CG6084         NA      \n",
       "1094 CG5590         NA      \n",
       "1098 smt3           NA      \n",
       "1119 Eip55E         NA      \n",
       "1135 Thiolase       NA      \n",
       "1156 CtsB1          NA      \n",
       "1183 CG7414         NA      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "down = pa14DEG$names[pa14DEG$status=='down']\n",
    "geneTmp = bitr(down,fromType = 'SYMBOL',toType = 'ENTREZID',OrgDb = 'org.Dm.eg.db',drop = FALSE)\n",
    "numTmp = sum(is.na(geneTmp[,2]))\n",
    "print(paste0(numTmp,' genes failed to map.'))\n",
    "geneTmp[is.na(geneTmp[,2]),]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5c64137d-d72d-4c30-94c8-59b503ceaa15",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T06:43:50.122090Z",
     "iopub.status.busy": "2025-10-31T06:43:50.118614Z",
     "iopub.status.idle": "2025-10-31T06:44:24.786377Z",
     "shell.execute_reply": "2025-10-31T06:44:24.782004Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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slPNsAD2swmJMMLHWuGLx6p9VlIU+MJGNw2Eqhp3x/2Uszm3q0OTYbxHetxF6Oa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J/Skxly/jtWjrandml5GDEGkD7Ev3lyTO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\nJCSCCAIkJIIIAiQkgggCJCSCCAL/AQnCAZB0B4NsAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "anaGO(na.omit(geneTmp[,2]),prefix = 'pa14_down')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bd25e4a5-565e-4613-b38c-65a7f30338bf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T06:57:19.782721Z",
     "iopub.status.busy": "2025-10-31T06:57:19.779747Z",
     "iopub.status.idle": "2025-10-31T06:57:19.858013Z",
     "shell.execute_reply": "2025-10-31T06:57:19.855678Z"
    }
   },
   "outputs": [],
   "source": [
    "agingDEG = read.csv('aging_DEG.csv',header = TRUE,row.names = 1)\n",
    "agingDown = agingDEG$names[agingDEG$status=='down']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1794020e-a2c3-4e11-bdd1-06a6d8482d90",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T07:02:38.173868Z",
     "iopub.status.busy": "2025-10-31T07:02:38.170652Z",
     "iopub.status.idle": "2025-10-31T07:02:38.866330Z",
     "shell.execute_reply": "2025-10-31T07:02:38.862847Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "1"
      ],
      "text/latex": [
       "1"
      ],
      "text/markdown": [
       "1"
      ],
      "text/plain": [
       "[1] 1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "venn.diagram(x=list(agingDown,down),category.names = c(\"aging Down\",\"PA14 Down\"),scaled = FALSE,alpha = 0.3,filename = \"aging_PA14_Down_venn.png\",imagetype = \"png\",resolution = \"720\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ade387d1-962d-414c-a737-3edf5263c8fd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T07:09:19.864711Z",
     "iopub.status.busy": "2025-10-31T07:09:19.861633Z",
     "iopub.status.idle": "2025-10-31T07:09:20.534369Z",
     "shell.execute_reply": "2025-10-31T07:09:20.532047Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'select()' returned 1:1 mapping between keys and columns\n",
      "\n",
      "Warning message in bitr(tmp, fromType = \"SYMBOL\", toType = \"ENTREZID\", OrgDb = \"org.Dm.eg.db\", :\n",
      "“7.76% of input gene IDs are fail to map...”\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"45 genes failed to map.\"\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 45 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SYMBOL</th><th scope=col>ENTREZID</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>14</th><td>CG9723        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>21</th><td>CG4662        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>31</th><td>Rcp           </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>42</th><td>CG16979       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>44</th><td>CG10880       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>71</th><td>CG11453       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>82</th><td>CG5037        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>84</th><td>CG5287        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>89</th><td>CG3756        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>103</th><td>CG6388        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>105</th><td>CG9527        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>106</th><td>CHORD         </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>107</th><td>CG31357       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>108</th><td>CG1427        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>157</th><td>CG5734        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>159</th><td>CG10166       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>163</th><td>CG32521       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>169</th><td>CG9911        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>175</th><td>CG11781       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>178</th><td>CG5599        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>185</th><td>CG17337       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>191</th><td>l(2)37Cg      </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>195</th><td>Rpb8          </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>204</th><td>CG8311        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>219</th><td>CG7470        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>229</th><td>CG15168       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>231</th><td>CG14184       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>248</th><td>CG10672       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>263</th><td>CG33977       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>265</th><td>CG11137       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>279</th><td>CG17278       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>283</th><td>CG10960       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>317</th><td>TMS1          </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>338</th><td>CG5028        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>367</th><td>CG5044        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>372</th><td>CG9577        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>388</th><td>CG10932       </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>396</th><td>Rpb12         </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>431</th><td>CG5590        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>435</th><td>CtsB1         </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>443</th><td>CG6084        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>453</th><td>lncRNA:CR43051</td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>465</th><td>Thiolase      </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>473</th><td>Eip55E        </td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>476</th><td>CG7834        </td><td>NA</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 45 × 2\n",
       "\\begin{tabular}{r|ll}\n",
       "  & SYMBOL & ENTREZID\\\\\n",
       "  & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\t14 & CG9723         & NA\\\\\n",
       "\t21 & CG4662         & NA\\\\\n",
       "\t31 & Rcp            & NA\\\\\n",
       "\t42 & CG16979        & NA\\\\\n",
       "\t44 & CG10880        & NA\\\\\n",
       "\t71 & CG11453        & NA\\\\\n",
       "\t82 & CG5037         & NA\\\\\n",
       "\t84 & CG5287         & NA\\\\\n",
       "\t89 & CG3756         & NA\\\\\n",
       "\t103 & CG6388         & NA\\\\\n",
       "\t105 & CG9527         & NA\\\\\n",
       "\t106 & CHORD          & NA\\\\\n",
       "\t107 & CG31357        & NA\\\\\n",
       "\t108 & CG1427         & NA\\\\\n",
       "\t157 & CG5734         & NA\\\\\n",
       "\t159 & CG10166        & NA\\\\\n",
       "\t163 & CG32521        & NA\\\\\n",
       "\t169 & CG9911         & NA\\\\\n",
       "\t175 & CG11781        & NA\\\\\n",
       "\t178 & CG5599         & NA\\\\\n",
       "\t185 & CG17337        & NA\\\\\n",
       "\t191 & l(2)37Cg       & NA\\\\\n",
       "\t195 & Rpb8           & NA\\\\\n",
       "\t204 & CG8311         & NA\\\\\n",
       "\t219 & CG7470         & NA\\\\\n",
       "\t229 & CG15168        & NA\\\\\n",
       "\t231 & CG14184        & NA\\\\\n",
       "\t248 & CG10672        & NA\\\\\n",
       "\t263 & CG33977        & NA\\\\\n",
       "\t265 & CG11137        & NA\\\\\n",
       "\t279 & CG17278        & NA\\\\\n",
       "\t283 & CG10960        & NA\\\\\n",
       "\t317 & TMS1           & NA\\\\\n",
       "\t338 & CG5028         & NA\\\\\n",
       "\t367 & CG5044         & NA\\\\\n",
       "\t372 & CG9577         & NA\\\\\n",
       "\t388 & CG10932        & NA\\\\\n",
       "\t396 & Rpb12          & NA\\\\\n",
       "\t431 & CG5590         & NA\\\\\n",
       "\t435 & CtsB1          & NA\\\\\n",
       "\t443 & CG6084         & NA\\\\\n",
       "\t453 & lncRNA:CR43051 & NA\\\\\n",
       "\t465 & Thiolase       & NA\\\\\n",
       "\t473 & Eip55E         & NA\\\\\n",
       "\t476 & CG7834         & NA\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 45 × 2\n",
       "\n",
       "| <!--/--> | SYMBOL &lt;chr&gt; | ENTREZID &lt;chr&gt; |\n",
       "|---|---|---|\n",
       "| 14 | CG9723         | NA |\n",
       "| 21 | CG4662         | NA |\n",
       "| 31 | Rcp            | NA |\n",
       "| 42 | CG16979        | NA |\n",
       "| 44 | CG10880        | NA |\n",
       "| 71 | CG11453        | NA |\n",
       "| 82 | CG5037         | NA |\n",
       "| 84 | CG5287         | NA |\n",
       "| 89 | CG3756         | NA |\n",
       "| 103 | CG6388         | NA |\n",
       "| 105 | CG9527         | NA |\n",
       "| 106 | CHORD          | NA |\n",
       "| 107 | CG31357        | NA |\n",
       "| 108 | CG1427         | NA |\n",
       "| 157 | CG5734         | NA |\n",
       "| 159 | CG10166        | NA |\n",
       "| 163 | CG32521        | NA |\n",
       "| 169 | CG9911         | NA |\n",
       "| 175 | CG11781        | NA |\n",
       "| 178 | CG5599         | NA |\n",
       "| 185 | CG17337        | NA |\n",
       "| 191 | l(2)37Cg       | NA |\n",
       "| 195 | Rpb8           | NA |\n",
       "| 204 | CG8311         | NA |\n",
       "| 219 | CG7470         | NA |\n",
       "| 229 | CG15168        | NA |\n",
       "| 231 | CG14184        | NA |\n",
       "| 248 | CG10672        | NA |\n",
       "| 263 | CG33977        | NA |\n",
       "| 265 | CG11137        | NA |\n",
       "| 279 | CG17278        | NA |\n",
       "| 283 | CG10960        | NA |\n",
       "| 317 | TMS1           | NA |\n",
       "| 338 | CG5028         | NA |\n",
       "| 367 | CG5044         | NA |\n",
       "| 372 | CG9577         | NA |\n",
       "| 388 | CG10932        | NA |\n",
       "| 396 | Rpb12          | NA |\n",
       "| 431 | CG5590         | NA |\n",
       "| 435 | CtsB1          | NA |\n",
       "| 443 | CG6084         | NA |\n",
       "| 453 | lncRNA:CR43051 | NA |\n",
       "| 465 | Thiolase       | NA |\n",
       "| 473 | Eip55E         | NA |\n",
       "| 476 | CG7834         | NA |\n",
       "\n"
      ],
      "text/plain": [
       "    SYMBOL         ENTREZID\n",
       "14  CG9723         NA      \n",
       "21  CG4662         NA      \n",
       "31  Rcp            NA      \n",
       "42  CG16979        NA      \n",
       "44  CG10880        NA      \n",
       "71  CG11453        NA      \n",
       "82  CG5037         NA      \n",
       "84  CG5287         NA      \n",
       "89  CG3756         NA      \n",
       "103 CG6388         NA      \n",
       "105 CG9527         NA      \n",
       "106 CHORD          NA      \n",
       "107 CG31357        NA      \n",
       "108 CG1427         NA      \n",
       "157 CG5734         NA      \n",
       "159 CG10166        NA      \n",
       "163 CG32521        NA      \n",
       "169 CG9911         NA      \n",
       "175 CG11781        NA      \n",
       "178 CG5599         NA      \n",
       "185 CG17337        NA      \n",
       "191 l(2)37Cg       NA      \n",
       "195 Rpb8           NA      \n",
       "204 CG8311         NA      \n",
       "219 CG7470         NA      \n",
       "229 CG15168        NA      \n",
       "231 CG14184        NA      \n",
       "248 CG10672        NA      \n",
       "263 CG33977        NA      \n",
       "265 CG11137        NA      \n",
       "279 CG17278        NA      \n",
       "283 CG10960        NA      \n",
       "317 TMS1           NA      \n",
       "338 CG5028         NA      \n",
       "367 CG5044         NA      \n",
       "372 CG9577         NA      \n",
       "388 CG10932        NA      \n",
       "396 Rpb12          NA      \n",
       "431 CG5590         NA      \n",
       "435 CtsB1          NA      \n",
       "443 CG6084         NA      \n",
       "453 lncRNA:CR43051 NA      \n",
       "465 Thiolase       NA      \n",
       "473 Eip55E         NA      \n",
       "476 CG7834         NA      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmp = intersect(agingDown,down)\n",
    "geneTmp = bitr(tmp,fromType = 'SYMBOL',toType = 'ENTREZID',OrgDb = 'org.Dm.eg.db',drop = FALSE)\n",
    "numTmp = sum(is.na(geneTmp[,2]))\n",
    "print(paste0(numTmp,' genes failed to map.'))\n",
    "geneTmp[is.na(geneTmp[,2]),]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e87ab1f3-f719-4eea-8fe9-9f55eabc8b40",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T07:10:08.835190Z",
     "iopub.status.busy": "2025-10-31T07:10:08.832305Z",
     "iopub.status.idle": "2025-10-31T07:10:25.883256Z",
     "shell.execute_reply": "2025-10-31T07:10:25.881191Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3W2PP3/CpbVNrWccQ3s+2b7XfKbOWLeeRlmEBbiC/zWdrulzVDc+vxJ2iPxTNof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SibGPtIPV4Q2+E/BNYv2jiKQQE4ypX+v1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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "anaGO(na.omit(geneTmp[,2]),prefix = 'aging_pa14_intersect_down')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8e3609cc-74e7-4e97-8121-b32494c65580",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T07:22:53.726508Z",
     "iopub.status.busy": "2025-10-31T07:22:53.723014Z",
     "iopub.status.idle": "2025-10-31T07:22:53.772604Z",
     "shell.execute_reply": "2025-10-31T07:22:53.768720Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
       ".list-inline>li {display: inline-block}\n",
       ".list-inline>li:not(:last-child)::after {content: \"\\00b7\"; padding: 0 .5ex}\n",
       "</style>\n",
       "<ol class=list-inline><li>'Nazo'</li><li>'Tsp42Ee'</li><li>'Jupiter'</li><li>'Nrt'</li><li>'Trx-2'</li><li>'hdly'</li><li>'pnt'</li><li>'Lmpt'</li><li>'GstD2'</li><li>'PGRP-LB'</li><li>'mnb'</li><li>'wun2'</li><li>'JhI-26'</li><li>'krimp'</li><li>'rst'</li><li>'msi'</li><li>'h'</li><li>'Lpin'</li><li>'lncRNA:CR46064'</li><li>'sna'</li><li>'Mec2'</li><li>'Ldh'</li><li>'B4'</li><li>'Fkbp14'</li><li>'cnn'</li><li>'GstS1'</li><li>'Pde6'</li><li>'wb'</li><li>'inaE'</li><li>'C1GalTA'</li><li>'Myo61F'</li><li>'Cpr51A'</li><li>'AcCoAS'</li><li>'Swip-1'</li><li>'l(3)02640'</li><li>'Shrm'</li><li>'Gk2'</li><li>'Pen'</li><li>'Dl'</li><li>'del'</li><li>'polo'</li><li>'Rgl'</li><li>'kuk'</li><li>'Rcd2'</li><li>'chn'</li><li>'dve'</li><li>'dpr21'</li><li>'Ant2'</li><li>'arr'</li><li>'fry'</li><li>'dpn'</li><li>'Tsp2A'</li><li>'Cks30A'</li><li>'Btk29A'</li><li>'GstE8'</li><li>'Marf1'</li><li>'cu'</li><li>'pdgy'</li><li>'lncRNA:CR43144'</li><li>'mbc'</li><li>'sog'</li><li>'bves'</li><li>'pch2'</li><li>'Nnf1a'</li><li>'CdGAPr'</li><li>'Kr-h1'</li><li>'msd1'</li><li>'MFS3'</li><li>'GLS'</li><li>'smp-30'</li><li>'Wnt5'</li><li>'kirre'</li><li>'E(spl)m7-HLH'</li><li>'Ntan1'</li><li>'ImpL2'</li><li>'nahoda'</li><li>'GstD5'</li><li>'lncRNA:roX2'</li><li>'Sema2b'</li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 'Nazo'\n",
       "\\item 'Tsp42Ee'\n",
       "\\item 'Jupiter'\n",
       "\\item 'Nrt'\n",
       "\\item 'Trx-2'\n",
       "\\item 'hdly'\n",
       "\\item 'pnt'\n",
       "\\item 'Lmpt'\n",
       "\\item 'GstD2'\n",
       "\\item 'PGRP-LB'\n",
       "\\item 'mnb'\n",
       "\\item 'wun2'\n",
       "\\item 'JhI-26'\n",
       "\\item 'krimp'\n",
       "\\item 'rst'\n",
       "\\item 'msi'\n",
       "\\item 'h'\n",
       "\\item 'Lpin'\n",
       "\\item 'lncRNA:CR46064'\n",
       "\\item 'sna'\n",
       "\\item 'Mec2'\n",
       "\\item 'Ldh'\n",
       "\\item 'B4'\n",
       "\\item 'Fkbp14'\n",
       "\\item 'cnn'\n",
       "\\item 'GstS1'\n",
       "\\item 'Pde6'\n",
       "\\item 'wb'\n",
       "\\item 'inaE'\n",
       "\\item 'C1GalTA'\n",
       "\\item 'Myo61F'\n",
       "\\item 'Cpr51A'\n",
       "\\item 'AcCoAS'\n",
       "\\item 'Swip-1'\n",
       "\\item 'l(3)02640'\n",
       "\\item 'Shrm'\n",
       "\\item 'Gk2'\n",
       "\\item 'Pen'\n",
       "\\item 'Dl'\n",
       "\\item 'del'\n",
       "\\item 'polo'\n",
       "\\item 'Rgl'\n",
       "\\item 'kuk'\n",
       "\\item 'Rcd2'\n",
       "\\item 'chn'\n",
       "\\item 'dve'\n",
       "\\item 'dpr21'\n",
       "\\item 'Ant2'\n",
       "\\item 'arr'\n",
       "\\item 'fry'\n",
       "\\item 'dpn'\n",
       "\\item 'Tsp2A'\n",
       "\\item 'Cks30A'\n",
       "\\item 'Btk29A'\n",
       "\\item 'GstE8'\n",
       "\\item 'Marf1'\n",
       "\\item 'cu'\n",
       "\\item 'pdgy'\n",
       "\\item 'lncRNA:CR43144'\n",
       "\\item 'mbc'\n",
       "\\item 'sog'\n",
       "\\item 'bves'\n",
       "\\item 'pch2'\n",
       "\\item 'Nnf1a'\n",
       "\\item 'CdGAPr'\n",
       "\\item 'Kr-h1'\n",
       "\\item 'msd1'\n",
       "\\item 'MFS3'\n",
       "\\item 'GLS'\n",
       "\\item 'smp-30'\n",
       "\\item 'Wnt5'\n",
       "\\item 'kirre'\n",
       "\\item 'E(spl)m7-HLH'\n",
       "\\item 'Ntan1'\n",
       "\\item 'ImpL2'\n",
       "\\item 'nahoda'\n",
       "\\item 'GstD5'\n",
       "\\item 'lncRNA:roX2'\n",
       "\\item 'Sema2b'\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 'Nazo'\n",
       "2. 'Tsp42Ee'\n",
       "3. 'Jupiter'\n",
       "4. 'Nrt'\n",
       "5. 'Trx-2'\n",
       "6. 'hdly'\n",
       "7. 'pnt'\n",
       "8. 'Lmpt'\n",
       "9. 'GstD2'\n",
       "10. 'PGRP-LB'\n",
       "11. 'mnb'\n",
       "12. 'wun2'\n",
       "13. 'JhI-26'\n",
       "14. 'krimp'\n",
       "15. 'rst'\n",
       "16. 'msi'\n",
       "17. 'h'\n",
       "18. 'Lpin'\n",
       "19. 'lncRNA:CR46064'\n",
       "20. 'sna'\n",
       "21. 'Mec2'\n",
       "22. 'Ldh'\n",
       "23. 'B4'\n",
       "24. 'Fkbp14'\n",
       "25. 'cnn'\n",
       "26. 'GstS1'\n",
       "27. 'Pde6'\n",
       "28. 'wb'\n",
       "29. 'inaE'\n",
       "30. 'C1GalTA'\n",
       "31. 'Myo61F'\n",
       "32. 'Cpr51A'\n",
       "33. 'AcCoAS'\n",
       "34. 'Swip-1'\n",
       "35. 'l(3)02640'\n",
       "36. 'Shrm'\n",
       "37. 'Gk2'\n",
       "38. 'Pen'\n",
       "39. 'Dl'\n",
       "40. 'del'\n",
       "41. 'polo'\n",
       "42. 'Rgl'\n",
       "43. 'kuk'\n",
       "44. 'Rcd2'\n",
       "45. 'chn'\n",
       "46. 'dve'\n",
       "47. 'dpr21'\n",
       "48. 'Ant2'\n",
       "49. 'arr'\n",
       "50. 'fry'\n",
       "51. 'dpn'\n",
       "52. 'Tsp2A'\n",
       "53. 'Cks30A'\n",
       "54. 'Btk29A'\n",
       "55. 'GstE8'\n",
       "56. 'Marf1'\n",
       "57. 'cu'\n",
       "58. 'pdgy'\n",
       "59. 'lncRNA:CR43144'\n",
       "60. 'mbc'\n",
       "61. 'sog'\n",
       "62. 'bves'\n",
       "63. 'pch2'\n",
       "64. 'Nnf1a'\n",
       "65. 'CdGAPr'\n",
       "66. 'Kr-h1'\n",
       "67. 'msd1'\n",
       "68. 'MFS3'\n",
       "69. 'GLS'\n",
       "70. 'smp-30'\n",
       "71. 'Wnt5'\n",
       "72. 'kirre'\n",
       "73. 'E(spl)m7-HLH'\n",
       "74. 'Ntan1'\n",
       "75. 'ImpL2'\n",
       "76. 'nahoda'\n",
       "77. 'GstD5'\n",
       "78. 'lncRNA:roX2'\n",
       "79. 'Sema2b'\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] \"Nazo\"           \"Tsp42Ee\"        \"Jupiter\"        \"Nrt\"           \n",
       " [5] \"Trx-2\"          \"hdly\"           \"pnt\"            \"Lmpt\"          \n",
       " [9] \"GstD2\"          \"PGRP-LB\"        \"mnb\"            \"wun2\"          \n",
       "[13] \"JhI-26\"         \"krimp\"          \"rst\"            \"msi\"           \n",
       "[17] \"h\"              \"Lpin\"           \"lncRNA:CR46064\" \"sna\"           \n",
       "[21] \"Mec2\"           \"Ldh\"            \"B4\"             \"Fkbp14\"        \n",
       "[25] \"cnn\"            \"GstS1\"          \"Pde6\"           \"wb\"            \n",
       "[29] \"inaE\"           \"C1GalTA\"        \"Myo61F\"         \"Cpr51A\"        \n",
       "[33] \"AcCoAS\"         \"Swip-1\"         \"l(3)02640\"      \"Shrm\"          \n",
       "[37] \"Gk2\"            \"Pen\"            \"Dl\"             \"del\"           \n",
       "[41] \"polo\"           \"Rgl\"            \"kuk\"            \"Rcd2\"          \n",
       "[45] \"chn\"            \"dve\"            \"dpr21\"          \"Ant2\"          \n",
       "[49] \"arr\"            \"fry\"            \"dpn\"            \"Tsp2A\"         \n",
       "[53] \"Cks30A\"         \"Btk29A\"         \"GstE8\"          \"Marf1\"         \n",
       "[57] \"cu\"             \"pdgy\"           \"lncRNA:CR43144\" \"mbc\"           \n",
       "[61] \"sog\"            \"bves\"           \"pch2\"           \"Nnf1a\"         \n",
       "[65] \"CdGAPr\"         \"Kr-h1\"          \"msd1\"           \"MFS3\"          \n",
       "[69] \"GLS\"            \"smp-30\"         \"Wnt5\"           \"kirre\"         \n",
       "[73] \"E(spl)m7-HLH\"   \"Ntan1\"          \"ImpL2\"          \"nahoda\"        \n",
       "[77] \"GstD5\"          \"lncRNA:roX2\"    \"Sema2b\"        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmp = intersect(agingDEG$names[agingDEG$status=='up'],pa14DEG$names[pa14DEG$status=='up'])\n",
    "tmp[grep('^CG',tmp,invert = TRUE)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "752aa83f-72d8-4e72-a4e4-567f4e014653",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T07:17:41.291799Z",
     "iopub.status.busy": "2025-10-31T07:17:41.288948Z",
     "iopub.status.idle": "2025-10-31T07:17:41.993173Z",
     "shell.execute_reply": "2025-10-31T07:17:41.990155Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "1"
      ],
      "text/latex": [
       "1"
      ],
      "text/markdown": [
       "1"
      ],
      "text/plain": [
       "[1] 1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "venn.diagram(x=list(agingDEG$names[agingDEG$status=='up'],pa14DEG$names[pa14DEG$status=='up']),category.names = c(\"aging Up\",\"PA14 Up\"),scaled = FALSE,alpha = 0.3,filename = \"aging_PA14_Up_venn.png\",imagetype = \"png\",resolution = \"720\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0e4fd718-2c9c-445b-b9f2-f386f77cc410",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-31T07:19:21.619528Z",
     "iopub.status.busy": "2025-10-31T07:19:21.617144Z",
     "iopub.status.idle": "2025-10-31T07:19:37.826104Z",
     "shell.execute_reply": "2025-10-31T07:19:37.824107Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'select()' returned 1:1 mapping between keys and columns\n",
      "\n",
      "Warning message in bitr(tmp, fromType = \"SYMBOL\", toType = \"ENTREZID\", OrgDb = \"org.Dm.eg.db\", :\n",
      "“4.79% of input gene IDs are fail to map...”\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"7 genes failed to map.\"\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A data.frame: 7 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>SYMBOL</th><th scope=col>ENTREZID</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>3</th><td>CG32368</td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>7</th><td>CG31324</td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>50</th><td>CG17265</td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>65</th><td>CG14906</td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>67</th><td>CG30456</td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>90</th><td>CG13704</td><td>NA</td></tr>\n",
       "\t<tr><th scope=row>104</th><td>Btk29A </td><td>NA</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 7 × 2\n",
       "\\begin{tabular}{r|ll}\n",
       "  & SYMBOL & ENTREZID\\\\\n",
       "  & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\t3 & CG32368 & NA\\\\\n",
       "\t7 & CG31324 & NA\\\\\n",
       "\t50 & CG17265 & NA\\\\\n",
       "\t65 & CG14906 & NA\\\\\n",
       "\t67 & CG30456 & NA\\\\\n",
       "\t90 & CG13704 & NA\\\\\n",
       "\t104 & Btk29A  & NA\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 7 × 2\n",
       "\n",
       "| <!--/--> | SYMBOL &lt;chr&gt; | ENTREZID &lt;chr&gt; |\n",
       "|---|---|---|\n",
       "| 3 | CG32368 | NA |\n",
       "| 7 | CG31324 | NA |\n",
       "| 50 | CG17265 | NA |\n",
       "| 65 | CG14906 | NA |\n",
       "| 67 | CG30456 | NA |\n",
       "| 90 | CG13704 | NA |\n",
       "| 104 | Btk29A  | NA |\n",
       "\n"
      ],
      "text/plain": [
       "    SYMBOL  ENTREZID\n",
       "3   CG32368 NA      \n",
       "7   CG31324 NA      \n",
       "50  CG17265 NA      \n",
       "65  CG14906 NA      \n",
       "67  CG30456 NA      \n",
       "90  CG13704 NA      \n",
       "104 Btk29A  NA      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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dXVxN4EaDVI7AAAWkRcXByPx1Pz4JqamsTExN69e7NYLGpLSkqKnp5ei0WnWnp6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\nOwAAAJcg2AEAALgEwQ4AAMAlPgE4e0+zAfpqgQAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "geneTmp = bitr(tmp,fromType = 'SYMBOL',toType = 'ENTREZID',OrgDb = 'org.Dm.eg.db',drop = FALSE)\n",
    "numTmp = sum(is.na(geneTmp[,2]))\n",
    "print(paste0(numTmp,' genes failed to map.'))\n",
    "geneTmp[is.na(geneTmp[,2]),]\n",
    "anaGO(na.omit(geneTmp[,2]),prefix = 'aging_pa14_intersect_up')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2ccf817-03b6-495b-93a9-3207b4316268",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.3.3"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}