{ "cells": [ { "cell_type": "markdown", "id": "a5c84039", "metadata": {}, "source": [ "# Modifying an existing Compocyte classifier." ] }, { "cell_type": "markdown", "id": "b4d54712", "metadata": {}, "source": [ "In the previous tutorial, we labelled a PBMC dataset, fit an explicitly defined label (and thus classifier) hierarchy to our labels and trained a Compocyte classifier to assign cell type labels to new data. Now, we want to take a look at the ways in which a hierarchical classifier permits changes in a way a monolithic classifier would not.\n", "\n", "We will start by loading the classifier we have previously trained." ] }, { "cell_type": "code", "execution_count": 1, "id": "f39bad9d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Neither graph nor dict_of_cell_relations defined upon initialization.\n", "Please run .load() to load an existing classifier.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.14/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", " from .autonotebook import tqdm as notebook_tqdm\n" ] } ], "source": [ "from Compocyte.core.hierarchical_classifier import HierarchicalClassifier\n", "import scanpy as sc\n", "\n", "# Load the trained classifier by specifying a save_path and calling the load() method. \n", "# The save_path should be the same as the one used during training.\n", "classifier = HierarchicalClassifier(\n", " save_path=\"./exclude/pbmc_classifier\"\n", ")\n", "classifier.load()" ] }, { "cell_type": "code", "execution_count": 2, "id": "f6cff15d", "metadata": {}, "outputs": [], "source": [ "test_adata = sc.read_h5ad(\"./exclude/test_adata.h5ad\")" ] }, { "cell_type": "markdown", "id": "6f2f3929", "metadata": {}, "source": [ "We already know that we get predictions when running our classifier on this data, but let's see if they are any good." ] }, { "cell_type": "code", "execution_count": 3, "id": "35d7f415", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Predicting at Blood.\n", "Predicting at Lymphoid.\n", "Predicting at T cells.\n", "Predicting at Myeloid.\n" ] } ], "source": [ "classifier.load_adata(test_adata)\n", "classifier.predict_all_child_nodes('Blood')" ] }, { "cell_type": "code", "execution_count": 4, "id": "78bd827b", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sc.pl.dotplot(\n", " classifier.adata, \n", " var_names=['CD3D', 'CD4', 'CD8A', 'KLRB1', 'NCAM1', 'FCGR3A', 'CD19', 'CD38', 'CD14', 'VCAN', 'FCER1A', 'CLEC4C', 'HBB', 'ITGB3'], \n", " groupby='Level_2_pred'\n", ")" ] }, { "cell_type": "markdown", "id": "246beec4", "metadata": {}, "source": [ "Not so bad for a classifier trained on 2000 cells. Let's assume that I am quite interested in the B cell subset. However, I did not have sufficient data to train the classifier beyond the B cell label. But someone else did.\n", "We will now take the B cell branch of our the official pretrained PBMC classifier and attach it to the classifier we have trained here and see how it fares. " ] }, { "cell_type": "markdown", "id": "e51c8368", "metadata": {}, "source": [ "This is our classifier before expanding." ] }, { "cell_type": "code", "execution_count": 5, "id": "3b9be9de", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import networkx as nx\n", "from networkx.drawing.nx_agraph import graphviz_layout\n", "\n", "# Plot the graph structure we gave to the classifier during training.\n", "pos = graphviz_layout(\n", " classifier.graph,prog=\"dot\",\n", " root='Blood',\n", " args='-Gsplines=curved -Gnodesep=8 -Goverlap=scalexy -Gbeautify=false'\n", ")\n", "nx.draw(\n", " classifier.graph, pos,\n", " with_labels=True,\n", " node_color=\"#9ecae1\",\n", " node_size=1200,\n", " edge_color=\"#888\",\n", " width=1.5,\n", " font_size=7.5,\n", " font_weight=\"bold\",\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "id": "5ab80c56", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Neither graph nor dict_of_cell_relations defined upon initialization.\n", "Please run .load() to load an existing classifier.\n" ] } ], "source": [ "from Compocyte.pretrained import pbmc_pretrained\n", "\n", "pretrained_classifier = pbmc_pretrained()" ] }, { "cell_type": "code", "execution_count": 7, "id": "7033c135", "metadata": {}, "outputs": [], "source": [ "exported_pretrained = pretrained_classifier.export_classifiers(\"./exclude/exported_classifiers/\")\n", "exported_3k = classifier.export_classifiers(\"./exclude/exported_classifiers_3k/\")" ] }, { "cell_type": "code", "execution_count": 8, "id": "752ac3cc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'Blood': {'PL': {},\n", " 'ERY': {},\n", " 'MCP': {},\n", " 'leukocyte': {'PB': {'B': {'B-naive': {},\n", " 'B-memory': {'B-memory-DN': {},\n", " 'B-memory-switched': {},\n", " 'B-memory-non-switched': {}}},\n", " 'plasma-blast': {'plasma-blast_proliferating': {},\n", " 'plasma-blast_IgM': {},\n", " 'plasma-blast_IgG': {},\n", " 'plasma-blast_IgA': {}}},\n", " 'M': {'gran': {'baso': {}, 'neutro': {}},\n", " 'DC': {'AS-DC': {},\n", " 'cDC': {'cDC1': {}, 'cDC2': {}, 'cDC3': {}},\n", " 'p-DC': {}},\n", " 'mono': {'i-mono': {'i-mono_IFN-I': {}},\n", " 'mono_IFN-I': {},\n", " 'c-mono': {'c-mono_IFN-I': {},\n", " 'inf-c-mono': {},\n", " 'c-mono_inflammasome': {}},\n", " 'nc-mono': {'nc-mono_IFN-I': {}, 'nc-mono_inflammasome': {}}}},\n", " 'TNK': {'TNK_proliferating': {},\n", " 'ILC': {'NK': {'NK_proliferating': {},\n", " 'CD56dim-NK': {},\n", " 'CD56bright-NK': {},\n", " 'NK-adaptive': {}},\n", " 'ILC2': {}},\n", " 'T': {'T_proliferating': {},\n", " 'abT': {'abT_proliferating': {},\n", " 'NKT': {},\n", " 'CD4-T': {'CD4-T-naive': {},\n", " 'Treg': {'Treg_proliferating': {}, 'Treg_BATF': {}},\n", " 'CD4-TEM': {},\n", " 'CD4-TCM': {}},\n", " 'CD8-T': {'CD8-T-naive': {},\n", " 'CD8-TCM': {'CD8-TCM_preexhausted': {},\n", " 'CD8-TCM_terminal-exhaustion': {},\n", " 'CD8-TCM_nonexhausted': {}},\n", " 'CD8-T-effector': {'CD8-T-KLRG1neg-effector': {'CD8-T-KLRG1neg-effector_nonexhausted': {},\n", " 'CD8-T-KLRG1neg-effector_terminal-exhaustion': {},\n", " 'CD8-T-KLRG1neg-effector_preexhausted': {}},\n", " 'CD8-T-KLRG1pos-effector': {'CD8-T-KLRG1pos-effector_nonexhausted': {},\n", " 'CD8-T-KLRG1pos-effector_terminal-exhaustion': {},\n", " 'CD8-T-KLRG1pos-effector_preexhausted': {},\n", " 'CD8-T-KLRG1pos-effector_exhausted-progenitor': {}}}},\n", " 'TCM': {'TCM_proliferating': {}, 'TCM_nonexhausted': {}},\n", " 'T-naive': {},\n", " 'MAIT': {}},\n", " 'gdT': {}}}}}}" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pretrained_classifier.dict_of_cell_relations" ] }, { "cell_type": "code", "execution_count": 9, "id": "7c3d7bf0", "metadata": {}, "outputs": [], "source": [ "exported_3k['Blood']['Lymphoid']['B'] = exported_pretrained['Blood']['leukocyte']['PB']['B']" ] }, { "cell_type": "code", "execution_count": 10, "id": "474405c4", "metadata": {}, "outputs": [], "source": [ "# Remove duplicate B cell node from the new hierarchy to avoid confusion during merging.\n", "del exported_3k['Blood']['Lymphoid']['B cells']" ] }, { "cell_type": "code", "execution_count": 11, "id": "3ff9e887", "metadata": {}, "outputs": [], "source": [ "test_adata = sc.read_h5ad(\"./exclude/test_adata.h5ad\")" ] }, { "cell_type": "code", "execution_count": 12, "id": "03426cdb", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/workspaces/Compocyte/src/Compocyte/core/base/data_base.py:122: UserWarning: You have supplied normalized, log-transformed data. Please ensure that this is intended and data is normalized to 10_000 counts per cell prior to log1p transformation.\n", " warn('You have supplied normalized, log-transformed data. Please ensure that \\\n" ] } ], "source": [ "merged_classifier = HierarchicalClassifier(\n", " save_path=\"./exclude/merged_classifier\", \n", " dict_of_cell_relations=exported_3k,\n", " adata=test_adata,\n", " # the new hierarchy goes one level deeper than the original one, so we need to add the new level to the obs_names\n", " obs_names=classifier.obs_names + ['Level_4'],\n", " temp_paths=[\"./exclude/exported_classifiers/\", \"./exclude/exported_classifiers_3k/\"],\n", " root_node=classifier.root_node\n", ")\n", "# The label encoding is specified at the local classifier level. \n", "# Because we renamed the B cell node, we need to tell the classifier to update the label encoding as well.\n", "merged_classifier.rename(old_label='B cells', new_label='B', parent_label='Lymphoid')" ] }, { "cell_type": "markdown", "id": "a0d8a116", "metadata": {}, "source": [ "This is our classifier after expanding." ] }, { "cell_type": "code", "execution_count": 13, "id": "20cc9dc6", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the graph structure we gave to the classifier during training.\n", "pos = graphviz_layout(\n", " merged_classifier.graph,prog=\"dot\",\n", " root='Blood',\n", " args='-Gsplines=curved -Gnodesep=8 -Goverlap=scalexy -Gbeautify=false'\n", ")\n", "nx.draw(\n", " merged_classifier.graph, pos,\n", " with_labels=True,\n", " node_color=\"#9ecae1\",\n", " node_size=1200,\n", " edge_color=\"#888\",\n", " width=1.5,\n", " font_size=7.5,\n", " font_weight=\"bold\",\n", ")" ] }, { "cell_type": "code", "execution_count": 14, "id": "c3cf2059", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Predicting at Blood.\n", "Predicting at Lymphoid.\n", "Predicting at T cells.\n", "Predicting at B.\n", "Predicting at B-memory.\n", "Predicting at Myeloid.\n" ] } ], "source": [ "merged_classifier.predict_all_child_nodes('Blood')" ] }, { "cell_type": "code", "execution_count": 15, "id": "8ee346b9", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.14/site-packages/anndata/_core/anndata.py:1257: ImplicitModificationWarning: Trying to modify attribute `.obs` of view, initializing view as actual.\n", " df[key] = c\n", "/usr/local/lib/python3.14/site-packages/anndata/_core/anndata.py:1257: ImplicitModificationWarning: Trying to modify attribute `.obs` of view, initializing view as actual.\n", " df[key] = c\n", "/usr/local/lib/python3.14/site-packages/anndata/_core/anndata.py:1257: ImplicitModificationWarning: Trying to modify attribute `.obs` of view, initializing view as actual.\n", " df[key] = c\n", "/usr/local/lib/python3.14/site-packages/anndata/_core/anndata.py:1257: ImplicitModificationWarning: Trying to modify attribute `.obs` of view, initializing view as actual.\n", " df[key] = c\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sc.pl.dotplot(\n", " merged_classifier.adata[merged_classifier.adata.obs.Level_2_pred == 'B'], \n", " var_names=['CD19', 'CD38','MS4A1', 'CD27', 'TCL1A', 'TNFRSF13B'], \n", " use_raw=True,\n", " groupby='Level_3_pred'\n", ")" ] }, { "cell_type": "markdown", "id": "f3edc62c", "metadata": {}, "source": [ "Would you look at that? With some Compocyte magic, we have found memory B cells that we could not have found without expanding the B cell classifier. Congratulations.\n", "If you would like to learn more have a look at our other tutorials." ] } ], "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": "3.14.4" } }, "nbformat": 4, "nbformat_minor": 5 }