{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Tutorial 1: End-to-end scATAC-seq analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we will use scATAC-seq dataset `Forebrain' as an example to illustrate how scAGDE performs scATAC-seq analysis in an end-to-end style." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Read and preprocess data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We first read '.h5ad' data file using [Scanpy](https://github.com/scverse/scanpy) package" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import scanpy as sc\n", "adata = sc.read_h5ad(\"data/Forebrain.h5ad\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can use Scanpy to further filter data. In our case, we pass this step because the loaded dataset has been preprocessed. Some codes for filtering are copied below for easy reference:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "sc.pp.filter_cells(adata, min_genes=100)\n", "min_cells = int(adata.shape[0] * 0.01)\n", "sc.pp.filter_genes(adata, min_cells=min_cells)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "AnnData object with n_obs × n_vars = 2088 × 11285\n", " obs: 'celltype', 'n_genes'\n", " var: 'n_cells'\n", " uns: 'neighbors', 'pca', 'tsne', 'umap'\n", " obsm: 'X_pca', 'X_tsne', 'X_umap'\n", " varm: 'PCs'\n", " obsp: 'connectivities', 'distances'" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "adata" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Setup and train scAGDE model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can initialize the trainer with the AnnData object, which will ensure settings for model are in place for training. \n", "\n", "We can specify the `outdir` to the dir path where we want to save the output file (mainly the model weights file).\n", "\n", "`n_centroids` represents the cluster number of dataset. If this information is unknown, we can set `n_centroids=None` and in this case, scAGDE will apply the estimation strategy to estimate the optimal cluster number for the initialization of its cluster layer. Here, we set `n_centroids=8`.\n", " \n", "We can train scAGDE on specified device by setting `gpu`. For example, train scAGDE on CPUs by `gpu=None` and trian it on GPU #0 by `gpu=\"0\"`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "If you are merely interested in learning cell embeddings without consiering any optimization about cell clustering, you can specify `cluster_opt=False` here. In this case, scAGDE will be run withour any clustering-related module and optimization.\n", "
" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "device used: cuda:3\n", "\n" ] } ], "source": [ "import scAGDE\n", "trainer = scAGDE.Trainer(adata,outdir=\"output\",n_centroids=8,gpu=\"3\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can train scAGDE model in end-to-end style. The whole pipeline behind the function of `fit()` mainly consists of three stages, as below:\n", "\n", "1. scAGDE first trained an chromatin accessibility-based autoencoder to measure the importance of the peaks and select the key peaks. The number of selected peaks is set to 10,000 in default, or you can change it by setting `top_n`. In the meanwhile, the initial cell representations for cell graph construction are stored in `adata.obs[embed_init_key]`, which is `\"latent_init\"` in default.\n", "\n", "2. scAGDE then constructed cell graph and trains the GCN-based embedded model to extract essential structural information from both count and cell graph data.\n", "\n", "3. scAGDE finally yiels robust and discriminative cell embeddings which are stored in `adata.obsm[embed_key]`, which is `\"latent\"` in default. Also, scAGDE enables imputation task if `impute_key` is not None and the imputed data will be stored in `adata.obsm[impute_key]`, which is `\"impute\"` in default. \n", "\n", "scAGDE performs clustering on final embeddings if `cluster_key` is not None, and the cluster assignments will be in `adata.obs[cluster_key]`, which is `\"cluster\"` in default. The cluster number is the value of `n_centroids` and if estimation is used, the cluster number is the value of estimated cluster number.\n", "\n", "You can also explore each step as you wish by following a step-by-step tutorial in [Tutorial 2: Step-by-Step scATAC-seq analysis](./Tutorial%202:%20Step-by-Step%20scATAC-seq%20analysis.ipynb)." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cell number: 2088\n", "Peak number: 11285\n", "n_centroids: 8\n", "\n", "\n", "## Training CountModel ##\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "CountModel: 100%|██████████| 5000/5000 [00:31<00:00, 158.61it/s, loss=1687.1017]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "## Constructing Cell Graph ##\n", "Cell number: 2088\n", "Peak number: 10000\n", "n_centroids: 8\n", "\n", "\n", "## Training GraphModel ##\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "GraphModel-preTrain: 100%|██████████| 1500/1500 [00:17<00:00, 87.96it/s, loss=1804.3624]\n", "GraphModel: 100%|██████████| 4000/4000 [00:51<00:00, 77.59it/s, loss=4249.9907]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "AnnData object with n_obs × n_vars = 2088 × 11285\n", " obs: 'celltype', 'n_genes', 'cluster'\n", " var: 'n_cells', 'is_selected'\n", " uns: 'neighbors', 'pca', 'tsne', 'umap'\n", " obsm: 'X_pca', 'X_tsne', 'X_umap', 'latent_init', 'impute', 'latent'\n", " varm: 'PCs'\n", " obsp: 'connectivities', 'distances'\n" ] } ], "source": [ "embed_key = \"latent\"\n", "adata = trainer.fit(topn=10000,embed_key=embed_key)\n", "print(adata)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Visualizing and evaluation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can now use Scanpy to visualize our latent space." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/haogaoyang/anaconda3/envs/torch/lib/python3.8/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", " cax = scatter(\n", "/home/haogaoyang/anaconda3/envs/torch/lib/python3.8/site-packages/scanpy/plotting/_tools/scatterplots.py:394: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n", " cax = scatter(\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sc.pp.neighbors(adata, use_rep=\"latent\")\n", "sc.tl.umap(adata, min_dist=0.2)\n", "sc.pl.umap(adata,color=[\"celltype\",\"cluster\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can evaluate the clustering performance with multiple metrics as below:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "## Clustering Evaluation Report ##\n", "# Confusion matrix: #\n", "[[113 0 0 1 0 3 0 3]\n", " [ 0 175 6 9 0 0 0 0]\n", " [ 1 7 308 42 5 0 0 3]\n", " [ 1 30 64 414 1 2 0 7]\n", " [ 1 3 3 2 171 4 1 10]\n", " [ 36 0 10 3 3 263 0 5]\n", " [ 2 1 4 3 1 2 108 5]\n", " [ 0 0 0 0 0 1 0 251]]\n", "# Metric values: #\n", "Adjusted Rand Index score: 0.6942\n", "`Normalized Mutual Info score: 0.7389\n", "`f1 score: 0.8635\n" ] } ], "source": [ "y = adata.obs[\"celltype\"].astype(\"category\").cat.codes.values\n", "res = scAGDE.utils.cluster_report(y, adata.obs[\"cluster\"].astype(int))" ] } ], "metadata": { "kernelspec": { "display_name": "torch", "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": "3.8.19" } }, "nbformat": 4, "nbformat_minor": 2 }