{ "cells": [ { "cell_type": "markdown", "id": "e5effe96", "metadata": {}, "source": [ "# DeepTraj Tutorial\n", "\n", "This notebook demonstrates how to load a trained DeepTraj model, generate stochastic gene-expression trajectories for a perturbation, visualize uncertainty for a target gene, and inspect model performance metrics." ] }, { "cell_type": "code", "execution_count": 1, "id": "8baacc3f", "metadata": {}, "outputs": [], "source": [ "import torch \n", "import pandas as pd \n", "import numpy as np\n", "from matplotlib import pyplot as plt\n", "\n", "from DeepTraj.models import DeepTraj" ] }, { "cell_type": "markdown", "id": "b4fa5789", "metadata": {}, "source": [ "## Load Model\n", "\n", "Select the available compute device and load the trained DeepTraj checkpoint, including metadata for supported perturbations, cell lines, and genes." ] }, { "cell_type": "code", "execution_count": 2, "id": "e2f07cbb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "using device: cpu\n" ] } ], "source": [ "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n", "print('using device:', device)\n", "model = torch.load(\n", " 'models/model_v01.pt', \n", " map_location=device, \n", " weights_only=False # required for meta data access \n", " ).eval()" ] }, { "cell_type": "markdown", "id": "878cf696", "metadata": {}, "source": [ "## Inspect Model Coverage\n", "\n", "Check how many perturbations, cell lines, and genes the model can predict." ] }, { "cell_type": "code", "execution_count": 3, "id": "add0f07c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "# of predictable perts: 34856\n", "# of predictable cell lines: 222\n", "# of genes: 978\n" ] } ], "source": [ "print('# of predictable perts: ', len(model.pert_names))\n", "print('# of predictable cell lines: ', len(model.cell_names))\n", "print('# of genes: ', len(model.gene_names))" ] }, { "cell_type": "markdown", "id": "65b4b03b", "metadata": {}, "source": [ "## Define Prediction Inputs\n", "\n", "Specify the cell line, perturbation, dose, time points, and number of stochastic samples. The checks confirm that the requested inputs are supported by the model.\n", "\n", "Additional drug,cell and gene information can be found on the [CLUE](https://clue.io/data/CMap2020#LINCS2020) website, see: \n", "- cellinfo_beta.txt \n", "- geneinfo_beta.txt \n", "- compoundinfo_beta.txt " ] }, { "cell_type": "code", "execution_count": 4, "id": "dd096105", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Drug names: trametinib\n" ] } ], "source": [ "n_time_pts = 10\n", "cell_lines = ['A549']*n_time_pts\n", "pert_ids = ['BRD-K12343256']*n_time_pts\n", "doses = [10.]*n_time_pts # uM\n", "times = np.linspace(0, 24, n_time_pts) # hours\n", "n_samples = 100\n", "seed = 42 # stochastic seed; important if matching stochastic samples across multiple batches\n", "\n", "\n", "assert np.isin(cell_lines, model.cell_names).all(), 'can only predict cell lines in model.cell_names'\n", "assert np.isin(pert_ids, model.pert_names).all(), 'can only predict perturbations in model.pert_names'\n", "assert ((np.array(doses) <= 100) & (np.array(doses) >= 0)).all(), 'recommended dose-range is 0-100 uM'\n", "assert ((np.array(times) <= 72) & (np.array(times) >= 0)).all(), 'time must be between 0 and 72 hours'\n", "\n", "\n", "pert2name = pd.read_csv('meta/pert2name.csv') \n", "drug_name = pert2name[lambda x: x.pert_id == pert_ids[0]]['cmap_name'].values[0]\n", "print(f'Drug names: {drug_name}')" ] }, { "cell_type": "markdown", "id": "b9aaa928", "metadata": {}, "source": [ "## Predict Response Trajectories\n", "\n", "Generate sampled trajectories across time. The output has shape `(samples, time points, genes)`." ] }, { "cell_type": "code", "execution_count": 5, "id": "8ee72e67", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(100, 10, 978)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "torch.random.manual_seed(seed)\n", "with torch.no_grad():\n", " out = model.predict(cell_lines, pert_ids, doses, times, samples=n_samples, device=device).cpu().numpy()\n", "out.shape # (n_samples, n_time_pts, n_genes)" ] }, { "cell_type": "markdown", "id": "5a677e1d", "metadata": {}, "source": [ "## Convert Expression Scale\n", "\n", "Optionally transform predictions back to LINCS Level 3 normalized expression values using stored per-gene means and standard deviations." ] }, { "cell_type": "code", "execution_count": 6, "id": "4943484c", "metadata": {}, "outputs": [], "source": [ "gene_stats = pd.read_csv('meta/gene_stats.csv')\n", "assert (gene_stats['gene_symbol'] == model.gene_names).all(), 'gene symbols must match'\n", "\n", "out = out * gene_stats['std'].values + gene_stats['mean'].values" ] }, { "cell_type": "markdown", "id": "2dc2ef86", "metadata": {}, "source": [ "## Summarize Uncertainty\n", "\n", "Compute the mean prediction and 90% credible interval across stochastic samples." ] }, { "cell_type": "code", "execution_count": 7, "id": "a5122b76", "metadata": {}, "outputs": [], "source": [ "out_lcb = np.quantile(out, q=[0.05], axis=0)[0]\n", "out_ucb = np.quantile(out, q=[0.95], axis=0)[0]\n", "out_mu = out.mean(axis=0)" ] }, { "cell_type": "markdown", "id": "f7cc939e", "metadata": {}, "source": [ "## Visualize a Target Gene\n", "\n", "Plot the predicted trajectory and uncertainty interval for one gene of interest." ] }, { "cell_type": "code", "execution_count": 8, "id": "2b99ad8d", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "GENE_TARGET = 'DUSP6'\n", "assert GENE_TARGET in model.gene_names, 'gene must be in model.gene_names'\n", "gene_idx = model.gene_names.index(GENE_TARGET) \n", "\n", "plt.figure(figsize=(10,3)) \n", "plt.plot(times, out_mu[:, gene_idx], color='k', lw=2, label='mean')\n", "plt.fill_between(times, out_lcb[:, gene_idx], out_ucb[:, gene_idx], color='k', alpha=0.1, label='90% CI')\n", "for i in range(n_samples):\n", " plt.plot(times, out[i, :, gene_idx], color='r', alpha=0.05)\n", "plt.xlabel('Time (hours)')\n", "plt.ylabel('LINCS lvl3 Normalized Expression')\n", "plt.title(f'{GENE_TARGET} expression in {cell_lines[0]} cell lines [{drug_name} @ {doses[0]} uM]')\n", "plt.legend()\n", "plt.show()\n", "\n" ] }, { "cell_type": "markdown", "id": "3c3a51d5", "metadata": {}, "source": [ "## Review Gene-Level Performance\n", "\n", "Load per-gene evaluation metrics, identify high-performing and well-calibrated genes, and visualize the metric distributions." ] }, { "cell_type": "code", "execution_count": 9, "id": "8f0b3d76", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Most predictive genes: ['S100A4', 'PRSS23', 'IGFBP3', 'COL4A1', 'PAFAH1B3', 'HSPB1', 'TPM1', 'LOXL1', 'COL1A1', 'PRAF2']\n", "Most well-calibrated genes: ['PAK1', 'TESK1', 'ARNT2', 'AKAP8', 'GPATCH8', 'FKBP4', 'ERO1A', 'HSPA4', 'KLHL21', 'PTGS2']\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gene_eval = pd.read_csv('meta/gene_eval.csv')\n", "\n", "print('Most predictive genes:', gene_eval.sort_values('r2', ascending=False).head(10).gene_symbol.values.tolist())\n", "print('Most well-calibrated genes:', gene_eval.sort_values('ece', ascending=True).head(10).gene_symbol.values.tolist())\n", "\n", "f,axes = plt.subplots(1,3, figsize=(9,3), sharey=True)\n", "plt.suptitle('Distribution of per-gene performance metrics')\n", "axes[0].hist(gene_eval['ece'])\n", "axes[0].set_xlabel('ECE')\n", "axes[1].hist(gene_eval['r2'])\n", "axes[1].set_xlabel('R2')\n", "axes[2].hist(gene_eval['mpiw'])\n", "axes[2].set_xlabel('MPIW')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "0a202734", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "deep-traj", "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": "3.11.6" } }, "nbformat": 4, "nbformat_minor": 5 }