{
"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=1i5Yj7Hh6ZYn9MpJ5hikOqA-SvnYK4zvQ\n",
"To: /mnt/home/icb/anastasia.litinetskaya/multigrate/example/cao2018-expressions.h5ad\n",
"19.5MB [00:00, 37.0MB/s]\n"
]
},
{
"data": {
"text/plain": [
"'cao2018-expressions.h5ad'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdown.download(\n",
" 'https://drive.google.com/uc?id=1i5Yj7Hh6ZYn9MpJ5hikOqA-SvnYK4zvQ',\n",
" 'cao2018-expressions.h5ad'\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"AnnData object with n_obs × n_vars = 7362 × 4000\n",
" obs: 'source', 'replicate', 'experiment', 'tsne_1', 'tsne_2', '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_type', 'gene_short_name', '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: 'cell_type_colors', 'neighbors', 'replicate_colors', 'umap'\n",
" obsm: 'X_pca', 'X_tsne', 'X_umap'\n",
" layers: 'count'\n",
" obsp: 'connectivities', 'distances'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scrna = sc.read('cao2018-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=1BujbHCgZxjS2K7lxxQ1XXLQJ2lPDnpZN\n",
"To: /mnt/home/icb/anastasia.litinetskaya/multigrate/example/cao2018-peaks.h5ad\n",
"34.2MB [00:00, 38.2MB/s]\n"
]
},
{
"data": {
"text/plain": [
"'cao2018-peaks.h5ad'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gdown.download(\n",
" 'https://drive.google.com/uc?id=1BujbHCgZxjS2K7lxxQ1XXLQJ2lPDnpZN',\n",
" 'cao2018-peaks.h5ad'\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"AnnData object with n_obs × n_vars = 7362 × 41524\n",
" obs: 'replicate', 'cell_type', 'nb_features'\n",
" var: 'chr', 'start', 'end', 'n_cells', 'commonness', 'prop_shared_cells', 'variability_score'\n",
" uns: 'cell_type_colors', 'neighbors', 'replicate_colors', '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('cao2018-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=7362 samples and D=4000 features...\n",
"Successfully loaded view='scATAC' group='group0' with N=7362 samples and D=41524 features...\n",
"\n",
"\n",
"Warning: 3 features(s) in view 0 have zero variance, consider removing them before training the model...\n",
"\n"
]
}
],
"source": [
"ent.set_data_matrix(\n",
" [[scrna.X.A], [scatac.X.A]],\n",
" views_names=['scRNA', 'scATAC'])"
]
},
{
"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: -406176503.11 \n",
"\n",
"Iteration 1: time=533.70, ELBO=-32964883.86, deltaELBO=373211619.249 (91.88409876%), Factors=19\n",
"Iteration 2: time=482.23, ELBO=-32642185.55, deltaELBO=322698.308 (0.07944780%), Factors=18\n",
"Iteration 3: time=444.85, ELBO=-32544080.02, deltaELBO=98105.533 (0.02415342%), Factors=17\n",
"Iteration 4: time=436.73, ELBO=-32465851.50, deltaELBO=78228.519 (0.01925974%), Factors=16\n",
"Iteration 5: time=466.17, ELBO=-32397723.33, deltaELBO=68128.167 (0.01677304%), Factors=15\n",
"Iteration 6: time=402.54, ELBO=-32326709.23, deltaELBO=71014.103 (0.01748356%), Factors=14\n",
"Iteration 7: time=423.51, ELBO=-32259648.32, deltaELBO=67060.908 (0.01651029%), Factors=13\n",
"Iteration 8: time=377.60, ELBO=-32200241.88, deltaELBO=59406.441 (0.01462577%), Factors=12\n",
"Iteration 9: time=375.62, ELBO=-32143596.84, deltaELBO=56645.038 (0.01394592%), Factors=11\n",
"Iteration 10: time=429.88, ELBO=-32087007.11, deltaELBO=56589.735 (0.01393230%), Factors=10\n",
"Iteration 11: time=366.63, ELBO=-32074911.49, deltaELBO=12095.612 (0.00297792%), Factors=10\n",
"Iteration 12: time=298.31, ELBO=-32060988.64, deltaELBO=13922.853 (0.00342778%), Factors=10\n",
"Iteration 13: time=286.45, ELBO=-32044700.30, deltaELBO=16288.343 (0.00401016%), Factors=10\n",
"Iteration 14: time=298.74, ELBO=-32026178.02, deltaELBO=18522.280 (0.00456016%), Factors=10\n",
"Iteration 15: time=291.31, ELBO=-32008828.38, deltaELBO=17349.637 (0.00427145%), Factors=10\n",
"Iteration 16: time=306.26, ELBO=-31999121.76, deltaELBO=9706.623 (0.00238975%), Factors=10\n",
"Iteration 17: time=282.92, ELBO=-31995875.57, deltaELBO=3246.193 (0.00079921%), Factors=10\n",
"Iteration 18: time=325.48, ELBO=-31994524.60, deltaELBO=1350.970 (0.00033261%), 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 cao2018-mofa2.hdf5...\n"
]
}
],
"source": [
"outfile = 'cao2018-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": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"AnnData object with n_obs × n_vars = 7362 × 10\n",
" obs: 'source', 'replicate', 'experiment', 'tsne_1', 'tsne_2', '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": 16,
"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": 17,
"metadata": {},
"outputs": [],
"source": [
"z.write('../data/integrated/mofa/cao-mofa.h5ad')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Remove old files"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"!rm 'cao2018-expressions.h5ad'\n",
"!rm 'cao2018-peaks.h5ad'\n",
"!rm 'cao2018-mofa2.hdf5'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Visualize results"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"sc.pp.neighbors(z)\n",
"sc.tl.umap(z)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"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', frameon=False)"
]
},
{
"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
}