{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import scanpy as sc\n",
    "import h5py\n",
    "import gdown\n",
    "from mofapy2.run.entry_point import entry_point"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MOFA 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=1E3AT2wztvswn3p_N5kWEmk0_ZHaT3OWH\n",
      "To: /mnt/home/icb/anastasia.litinetskaya/multigrate/example/chen2019-expressions.h5ad\n",
      "9.00MB [00:00, 32.1MB/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'chen2019-expressions.h5ad'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdown.download(\n",
    "    'https://drive.google.com/uc?id=1E3AT2wztvswn3p_N5kWEmk0_ZHaT3OWH',\n",
    "    'chen2019-expressions.h5ad'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 4793 × 4000\n",
       "    obs: 'Batch', 'Barcode', 'cell_type', 'n_genes', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt'\n",
       "    var: 'gene_symbols', 'n_cells', 'mt', 'n_cells_by_counts', 'mean_counts', 'log1p_mean_counts', 'pct_dropout_by_counts', 'total_counts', 'log1p_total_counts', 'highly_variable', 'means', 'dispersions', 'dispersions_norm', 'highly_variable_nbatches', 'highly_variable_intersection'\n",
       "    uns: 'Batch_colors', 'cell_type_colors', 'neighbors', 'umap'\n",
       "    obsm: 'X_pca', 'X_umap'\n",
       "    layers: 'count'\n",
       "    obsp: 'connectivities', 'distances'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scrna = sc.read('chen2019-expressions.h5ad')\n",
    "scrna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading...\n",
      "From: https://drive.google.com/uc?id=13SdXwNDjG_UbnpCUnYqc2iHLwXEAjxNc\n",
      "To: /mnt/home/icb/anastasia.litinetskaya/multigrate/example/chen2019-peaks.h5ad\n",
      "106MB [00:02, 39.7MB/s] \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'chen2019-peaks.h5ad'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdown.download(\n",
    "    'https://drive.google.com/uc?id=13SdXwNDjG_UbnpCUnYqc2iHLwXEAjxNc',\n",
    "    'chen2019-peaks.h5ad'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 4793 × 40623\n",
       "    obs: 'Batch', 'Barcode', 'cell_type', 'nb_features'\n",
       "    var: 'gene_ids', 'n_cells', 'commonness', 'prop_shared_cells', 'variability_score'\n",
       "    uns: 'Batch_colors', 'cell_type_colors', 'neighbors', 'umap'\n",
       "    obsm: 'X_pca', 'X_umap'\n",
       "    layers: 'binary'\n",
       "    obsp: 'connectivities', 'distances'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scatac = sc.read_h5ad('chen2019-peaks.h5ad')\n",
    "scatac"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Configure and train the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "        #########################################################\n",
      "        ###           __  __  ____  ______                    ### \n",
      "        ###          |  \\/  |/ __ \\|  ____/\\    _             ### \n",
      "        ###          | \\  / | |  | | |__ /  \\ _| |_           ### \n",
      "        ###          | |\\/| | |  | |  __/ /\\ \\_   _|          ###\n",
      "        ###          | |  | | |__| | | / ____ \\|_|            ###\n",
      "        ###          |_|  |_|\\____/|_|/_/    \\_\\              ###\n",
      "        ###                                                   ### \n",
      "        ######################################################### \n",
      "       \n",
      " \n",
      "        \n"
     ]
    }
   ],
   "source": [
    "ent = entry_point()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "ent.set_data_options(\n",
    "    scale_groups = False, \n",
    "    scale_views = False\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features names not provided, using default naming convention:\n",
      "- feature1_view1, featureD_viewM\n",
      "\n",
      "Groups names not provided, using default naming convention:\n",
      "- group1, group2, ..., groupG\n",
      "\n",
      "Samples names not provided, using default naming convention:\n",
      "- sample1_group1, sample2_group1, sample1_group2, ..., sampleN_groupG\n",
      "\n",
      "Successfully loaded view='scRNA' group='group0' with N=4793 samples and D=4000 features...\n",
      "Successfully loaded view='scATAC' group='group0' with N=4793 samples and D=40623 features...\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ent.set_data_matrix(\n",
    "    [[scrna.X.A], [scatac.X.A]],\n",
    "    views_names=['scRNA', 'scATAC']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model options:\n",
      "- Automatic Relevance Determination prior on the factors: False\n",
      "- Automatic Relevance Determination prior on the weights: True\n",
      "- Spike-and-slab prior on the factors: False\n",
      "- Spike-and-slab prior on the weights: True\n",
      "Likelihoods:\n",
      "- View 0 (scRNA): gaussian\n",
      "- View 1 (scATAC): gaussian\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ent.set_model_options(\n",
    "    factors = 20, \n",
    "    spikeslab_weights = True, \n",
    "    ard_factors = False, # one group\n",
    "    ard_weights = True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ent.set_train_options(\n",
    "    iter = 1000, \n",
    "    convergence_mode = \"fast\", \n",
    "    startELBO = 1, \n",
    "    freqELBO = 1, \n",
    "    dropR2 = 0.001, \n",
    "    gpu_mode = False, \n",
    "    verbose = False, \n",
    "    seed = 1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "ent.build()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "######################################\n",
      "## Training the model with seed 1 ##\n",
      "######################################\n",
      "\n",
      "\n",
      "ELBO before training: -259706236.17 \n",
      "\n",
      "Iteration 1: time=269.85, ELBO=-58592862.63, deltaELBO=201113373.536 (77.43879258%), Factors=19\n",
      "Iteration 2: time=256.35, ELBO=-58338361.69, deltaELBO=254500.944 (0.09799570%), Factors=18\n",
      "Iteration 3: time=243.41, ELBO=-58225016.20, deltaELBO=113345.492 (0.04364373%), Factors=17\n",
      "Iteration 4: time=229.36, ELBO=-58139394.62, deltaELBO=85621.577 (0.03296863%), Factors=16\n",
      "Iteration 5: time=220.10, ELBO=-58059194.35, deltaELBO=80200.269 (0.03088115%), Factors=15\n",
      "Iteration 6: time=206.46, ELBO=-57983783.45, deltaELBO=75410.906 (0.02903700%), Factors=14\n",
      "Iteration 7: time=194.31, ELBO=-57918611.93, deltaELBO=65171.518 (0.02509432%), Factors=13\n",
      "Iteration 8: time=180.77, ELBO=-57857389.24, deltaELBO=61222.684 (0.02357382%), Factors=12\n",
      "Iteration 9: time=175.94, ELBO=-57841819.01, deltaELBO=15570.232 (0.00599532%), Factors=12\n",
      "Iteration 10: time=177.29, ELBO=-57825539.22, deltaELBO=16279.796 (0.00626854%), Factors=12\n",
      "Iteration 11: time=177.46, ELBO=-57810390.88, deltaELBO=15148.338 (0.00583287%), Factors=12\n",
      "Iteration 12: time=178.68, ELBO=-57796790.63, deltaELBO=13600.245 (0.00523678%), Factors=12\n",
      "Iteration 13: time=177.98, ELBO=-57783909.33, deltaELBO=12881.302 (0.00495995%), Factors=12\n",
      "Iteration 14: time=178.96, ELBO=-57771136.65, deltaELBO=12772.679 (0.00491813%), Factors=12\n",
      "Iteration 15: time=178.13, ELBO=-57758434.70, deltaELBO=12701.949 (0.00489089%), Factors=12\n",
      "Iteration 16: time=178.71, ELBO=-57746173.65, deltaELBO=12261.056 (0.00472112%), Factors=12\n",
      "Iteration 17: time=178.20, ELBO=-57735072.67, deltaELBO=11100.975 (0.00427444%), Factors=12\n",
      "Iteration 18: time=177.86, ELBO=-57725778.41, deltaELBO=9294.260 (0.00357876%), Factors=12\n",
      "Iteration 19: time=177.69, ELBO=-57718276.90, deltaELBO=7501.513 (0.00288846%), Factors=12\n",
      "Iteration 20: time=178.07, ELBO=-57712029.98, deltaELBO=6246.914 (0.00240538%), Factors=12\n",
      "Iteration 21: time=179.54, ELBO=-57706535.52, deltaELBO=5494.462 (0.00211564%), Factors=12\n",
      "Iteration 22: time=177.47, ELBO=-57701558.05, deltaELBO=4977.476 (0.00191658%), Factors=12\n",
      "Iteration 23: time=179.20, ELBO=-57697030.29, deltaELBO=4527.755 (0.00174341%), Factors=12\n",
      "Iteration 24: time=179.28, ELBO=-57692911.20, deltaELBO=4119.093 (0.00158606%), Factors=12\n",
      "Iteration 25: time=176.29, ELBO=-57689126.74, deltaELBO=3784.460 (0.00145721%), Factors=12\n",
      "Iteration 26: time=179.49, ELBO=-57685554.06, deltaELBO=3572.677 (0.00137566%), Factors=12\n",
      "Iteration 27: time=180.31, ELBO=-57682035.79, deltaELBO=3518.269 (0.00135471%), Factors=12\n",
      "Iteration 28: time=176.98, ELBO=-57678383.42, deltaELBO=3652.370 (0.00140635%), Factors=12\n",
      "Iteration 29: time=179.97, ELBO=-57674233.64, deltaELBO=4149.788 (0.00159788%), Factors=12\n",
      "Iteration 30: time=178.92, ELBO=-57669310.19, deltaELBO=4923.449 (0.00189578%), Factors=12\n",
      "Iteration 31: time=179.78, ELBO=-57664095.65, deltaELBO=5214.532 (0.00200786%), Factors=12\n",
      "Iteration 32: time=179.75, ELBO=-57659056.69, deltaELBO=5038.962 (0.00194025%), Factors=12\n",
      "Iteration 33: time=179.56, ELBO=-57653927.09, deltaELBO=5129.605 (0.00197516%), Factors=12\n",
      "Iteration 34: time=177.25, ELBO=-57648489.28, deltaELBO=5437.805 (0.00209383%), Factors=12\n",
      "Iteration 35: time=179.87, ELBO=-57642676.06, deltaELBO=5813.218 (0.00223838%), Factors=12\n",
      "Iteration 36: time=179.26, ELBO=-57636444.79, deltaELBO=6231.278 (0.00239936%), Factors=12\n",
      "Iteration 37: time=179.53, ELBO=-57629716.89, deltaELBO=6727.893 (0.00259058%), Factors=12\n",
      "Iteration 38: time=172.21, ELBO=-57585716.03, deltaELBO=44000.865 (0.01694255%), Factors=11\n",
      "Iteration 39: time=167.91, ELBO=-57580853.90, deltaELBO=4862.126 (0.00187216%), Factors=11\n",
      "Iteration 40: time=167.73, ELBO=-57576730.22, deltaELBO=4123.681 (0.00158783%), Factors=11\n",
      "Iteration 41: time=166.59, ELBO=-57573300.89, deltaELBO=3429.329 (0.00132046%), Factors=11\n",
      "Iteration 42: time=159.80, ELBO=-57541375.30, deltaELBO=31925.592 (0.01229296%), Factors=10\n",
      "Iteration 43: time=154.29, ELBO=-57538556.66, deltaELBO=2818.639 (0.00108532%), Factors=10\n",
      "Iteration 44: time=154.14, ELBO=-57536341.04, deltaELBO=2215.620 (0.00085313%), Factors=10\n",
      "Iteration 45: time=154.25, ELBO=-57534283.86, deltaELBO=2057.176 (0.00079212%), Factors=10\n",
      "\n",
      "Converged!\n",
      "\n",
      "\n",
      "\n",
      "#######################\n",
      "## Training finished ##\n",
      "#######################\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ent.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving model in chen2019-mofa2.hdf5...\n"
     ]
    }
   ],
   "source": [
    "outfile = 'chen2019-mofa2.hdf5'\n",
    "ent.save(outfile)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save as AnnData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = h5py.File(outfile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 4793 × 10\n",
       "    obs: 'Batch', 'Barcode', 'cell_type', 'n_genes', 'n_genes_by_counts', 'log1p_n_genes_by_counts', 'total_counts', 'log1p_total_counts', 'total_counts_mt', 'log1p_total_counts_mt', 'pct_counts_mt'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "z = np.concatenate([v[:,:] for k, v in f['expectations']['Z'].items()], axis=1).T\n",
    "z = sc.AnnData(z)\n",
    "\n",
    "z.obs_names = scrna.obs_names\n",
    "z.obs = scrna.obs\n",
    "\n",
    "z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "z.write('../data/integrated/mofa/chen-mofa.h5ad')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove old files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "!rm 'chen2019-expressions.h5ad'\n",
    "!rm 'chen2019-peaks.h5ad'\n",
    "!rm 'chen2019-mofa2.hdf5'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.neighbors(z)\n",
    "sc.tl.umap(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.umap(z, color='cell_type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
