{ "cells": [ { "cell_type": "markdown", "id": "aead1037-f04f-4713-af7a-2e79f3126b00", "metadata": {}, "source": [ "# Reference-free automated single-cell cell type annotation\n", "\n", "By 2025, algorithms for automated cell type annotation have proliferated. Omicverse is committed to reducing discrepancies between different algorithms, so we categorize automated annotation methods into two groups: `with single-cell reference` and `without single-cell reference`. Each category has its own advantages and disadvantages. In this tutorial, we will only cover usage and will not compare different algorithms.\n", "\n", "This chapter focuses on `no single-cell reference` approaches, meaning cell type annotation can be performed without downloading existing single-cell datasets." ] }, { "cell_type": "code", "execution_count": 1, "id": "93dfd020-4ed8-48fe-80e9-2890e50e24a6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "πŸ”¬ Starting plot initialization...\n", "Using already downloaded Arial font from: /tmp/omicverse_arial.ttf\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/groups/xiaojie/steorra/env/omicverse/lib/python3.10/site-packages/IPython/core/pylabtools.py:77: DeprecationWarning: backend2gui is deprecated since IPython 8.24, backends are managed in matplotlib and can be externally registered.\n", " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Registered as: Arial\n", "🧬 Detecting GPU devices…\n", "βœ… NVIDIA CUDA GPUs detected: 1\n", " β€’ [CUDA 0] NVIDIA H100 80GB HBM3\n", " Memory: 79.1 GB | Compute: 9.0\n", "\n", " ____ _ _ __ \n", " / __ \\____ ___ (_)___| | / /__ _____________ \n", " / / / / __ `__ \\/ / ___/ | / / _ \\/ ___/ ___/ _ \\ \n", "/ /_/ / / / / / / / /__ | |/ / __/ / (__ ) __/ \n", "\\____/_/ /_/ /_/_/\\___/ |___/\\___/_/ /____/\\___/ \n", "\n", "πŸ”– Version: 1.7.8rc2 πŸ“š Tutorials: https://omicverse.readthedocs.io/\n", "βœ… plot_set complete.\n", "\n" ] } ], "source": [ "import scanpy as sc\n", "import omicverse as ov\n", "ov.plot_set(font_path='Arial')\n", "\n", "# Enable auto-reload for development\n", "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "markdown", "id": "a2bcfba2-f9e9-4efb-bb7f-f8156d23898b", "metadata": {}, "source": [ "## Data preprocess\n", "\n", "### Load Dataset\n", "\n", "To quickly demonstrate our capability for reference-free cell type annotation, we utilize the classic pbmc3k dataset. You can import it directly using `omicverse.datasets.pbmc3k` or download it via the link: https://falexwolf.de/data/pbmc3k_raw.h5ad." ] }, { "cell_type": "code", "execution_count": 2, "id": "4854647f-6b2d-47da-80d7-14f6adfcb9fe", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[95m Loading PBMC 3k dataset (raw)\u001b[0m\n", "\u001b[94mπŸ” Downloading data to ./data/pbmc3k_raw.h5ad\u001b[0m\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n", "[92mDownloading\u001b[0m: 100%|\u001b[32mβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰\u001b[0m| 5.85M/5.86M [00:02<00:00, 2.90MB/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[92mβœ… Download completed\u001b[0m\n", "\u001b[96m Loading data from ./data/pbmc3k_raw.h5ad\u001b[0m\n", "\u001b[92mβœ… Successfully loaded: 2700 cells Γ— 32738 genes\u001b[0m\n" ] }, { "data": { "text/plain": [ "AnnData object with n_obs Γ— n_vars = 2700 Γ— 32738\n", " var: 'gene_ids'" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "adata=ov.datasets.pbmc3k()\n", "adata" ] }, { "cell_type": "markdown", "id": "743f6aaf-c62c-4f4b-8211-b395b55df969", "metadata": {}, "source": [ "### Lazy Preprocess\n", "\n", "Since the single dataset lacks batch effects, we directly applied the default processing workflow from omicverse for preprocessing." ] }, { "cell_type": "code", "execution_count": 3, "id": "cda48ed8-2fe6-4acd-b382-8c4d85fed271", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[95m\u001b[1mπŸ–₯️ Using CPU mode for QC...\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ“Š Step 1: Calculating QC Metrics\u001b[0m\n", "\n", "\u001b[92m βœ“ Gene Family Detection:\u001b[0m\n", " \u001b[96mβ”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[1mGene Family \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[1mGenes Found \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[1mDetection Method \u001b[0m \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[94mMitochondrial \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[92m13 \u001b[0m \u001b[96mβ”‚\u001b[0m Auto (MT-) \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[94mRibosomal \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[92m106 \u001b[0m \u001b[96mβ”‚\u001b[0m Auto (RPS/RPL) \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[94mHemoglobin \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[92m13 \u001b[0m \u001b[96mβ”‚\u001b[0m Auto (regex) \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜\u001b[0m\n", "\n", "\u001b[92m βœ“ QC Metrics Summary:\u001b[0m\n", " \u001b[96mβ”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[1mMetric \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[1mMean \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[1mRange (Min - Max) \u001b[0m \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[94mnUMIs \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[1m2367 \u001b[0m \u001b[96mβ”‚\u001b[0m 548 - 15844 \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[94mDetected Genes \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[1m847 \u001b[0m \u001b[96mβ”‚\u001b[0m 212 - 3422 \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[94mMitochondrial % \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[1m2.2% \u001b[0m \u001b[96mβ”‚\u001b[0m 0.0% - 22.6% \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[94mRibosomal % \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[1m34.9% \u001b[0m \u001b[96mβ”‚\u001b[0m 1.1% - 59.4% \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€\u001b[0m\n", " \u001b[96mβ”‚\u001b[0m \u001b[94mHemoglobin % \u001b[0m \u001b[96mβ”‚\u001b[0m \u001b[1m0.0% \u001b[0m \u001b[96mβ”‚\u001b[0m 0.0% - 1.4% \u001b[96mβ”‚\u001b[0m\n", " \u001b[96mβ””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜\u001b[0m\n", "\n", " \u001b[96mπŸ“ˆ Original cell count: \u001b[1m2,700\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ”§ Step 2: Quality Filtering (SEURAT)\u001b[0m\n", " \u001b[96mThresholds: mito≀0.05, nUMIsβ‰₯500, genesβ‰₯250\u001b[0m\n", " \u001b[94mπŸ“Š Seurat Filter Results:\u001b[0m\n", " \u001b[96mβ€’ nUMIs filter (β‰₯500): \u001b[1m0\u001b[0m\u001b[96m cells failed (0.0%)\u001b[0m\n", " \u001b[96mβ€’ Genes filter (β‰₯250): \u001b[1m3\u001b[0m\u001b[96m cells failed (0.1%)\u001b[0m\n", " \u001b[96mβ€’ Mitochondrial filter (≀0.05): \u001b[1m57\u001b[0m\u001b[96m cells failed (2.1%)\u001b[0m\n", " \u001b[92mβœ“ Filters applied successfully\u001b[0m\n", " \u001b[92mβœ“ Combined QC filters: \u001b[1m60\u001b[0m\u001b[92m cells removed (2.2%)\u001b[0m\n", "\n", "\u001b[95m\u001b[1m🎯 Step 3: Final Filtering\u001b[0m\n", " \u001b[96mParameters: min_genes=200, min_cells=3\u001b[0m\n", " \u001b[96mRatios: max_genes_ratio=1, max_cells_ratio=1\u001b[0m\n", "filtered out 19041 genes that are detected in less than 3 cells\n", " \u001b[92mβœ“ Final filtering: \u001b[1m0\u001b[0m\u001b[92m cells, \u001b[1m19,041\u001b[0m\u001b[92m genes removed\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ” Step 4: Doublet Detection\u001b[0m\n", " \u001b[93m⚠️ Note: 'scrublet' detection is too old and may not work properly\u001b[0m\n", " \u001b[96mπŸ’‘ Consider using 'doublets_method=sccomposite' for better results\u001b[0m\n", " \u001b[92mπŸ” Running scrublet doublet detection...\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ” Running Scrublet Doublet Detection:\u001b[0m\n", " \u001b[96mMode: \u001b[1mcpu\u001b[0m\n", " \u001b[96mComputing doublet prediction using Scrublet algorithm\u001b[0m\n", " \u001b[92mπŸ” Filtering genes and cells...\u001b[0m\n", " \u001b[92mπŸ” Normalizing data and selecting highly variable genes...\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ” Count Normalization:\u001b[0m\n", " \u001b[96mTarget sum: \u001b[1mmedian\u001b[0m\n", " \u001b[96mExclude highly expressed: \u001b[1mFalse\u001b[0m\n", "\n", "\u001b[92mβœ… Count Normalization Completed Successfully!\u001b[0m\n", " \u001b[92mβœ“ Processed: \u001b[1m2,640\u001b[0m\u001b[92m cells Γ— \u001b[1m13,697\u001b[0m\u001b[92m genes\u001b[0m\n", " \u001b[92mβœ“ Runtime: \u001b[1m0.00s\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ” Highly Variable Genes Selection:\u001b[0m\n", " \u001b[96mMethod: \u001b[1mseurat\u001b[0m\n", " ⚠️ \u001b[93mGene indices \u001b[1m[7846]\u001b[0m\u001b[93m fell into a single bin: normalized dispersion set to 1\u001b[0m\n", " \u001b[93mπŸ’‘ Consider decreasing `n_bins` to avoid this effect\u001b[0m\n", "\n", "\u001b[92mβœ… HVG Selection Completed Successfully!\u001b[0m\n", " \u001b[92mβœ“ Selected: \u001b[1m1,738\u001b[0m\u001b[92m highly variable genes out of \u001b[1m13,697\u001b[0m\u001b[92m total (12.7%)\u001b[0m\n", " \u001b[92mβœ“ Results added to AnnData object:\u001b[0m\n", " \u001b[96mβ€’ 'highly_variable': \u001b[1mBoolean vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[96mβ€’ 'means': \u001b[1mFloat vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[96mβ€’ 'dispersions': \u001b[1mFloat vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[96mβ€’ 'dispersions_norm': \u001b[1mFloat vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[92mπŸ” Simulating synthetic doublets...\u001b[0m\n", " \u001b[92mπŸ” Normalizing observed and simulated data...\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ” Count Normalization:\u001b[0m\n", " \u001b[96mTarget sum: \u001b[1m1000000.0\u001b[0m\n", " \u001b[96mExclude highly expressed: \u001b[1mFalse\u001b[0m\n", "\n", "\u001b[92mβœ… Count Normalization Completed Successfully!\u001b[0m\n", " \u001b[92mβœ“ Processed: \u001b[1m2,640\u001b[0m\u001b[92m cells Γ— \u001b[1m1,738\u001b[0m\u001b[92m genes\u001b[0m\n", " \u001b[92mβœ“ Runtime: \u001b[1m0.00s\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ” Count Normalization:\u001b[0m\n", " \u001b[96mTarget sum: \u001b[1m1000000.0\u001b[0m\n", " \u001b[96mExclude highly expressed: \u001b[1mFalse\u001b[0m\n", "\n", "\u001b[92mβœ… Count Normalization Completed Successfully!\u001b[0m\n", " \u001b[92mβœ“ Processed: \u001b[1m5,280\u001b[0m\u001b[92m cells Γ— \u001b[1m1,738\u001b[0m\u001b[92m genes\u001b[0m\n", " \u001b[92mβœ“ Runtime: \u001b[1m0.01s\u001b[0m\n", " \u001b[92mπŸ” Embedding transcriptomes using PCA...\u001b[0m\n", " \u001b[92mπŸ” Calculating doublet scores...\u001b[0m\n", " using data matrix X directly\n", " \u001b[92mπŸ” Calling doublets with threshold detection...\u001b[0m\n", " \u001b[96mπŸ“Š Automatic threshold: \u001b[1m0.239\u001b[0m\n", " \u001b[96mπŸ“ˆ Detected doublet rate: \u001b[1m1.6%\u001b[0m\n", " \u001b[96mπŸ” Detectable doublet fraction: \u001b[1m39.5%\u001b[0m\n", " \u001b[94mπŸ“Š Overall doublet rate comparison:\u001b[0m\n", " \u001b[96mβ€’ Expected: \u001b[1m5.0%\u001b[0m\n", " \u001b[96mβ€’ Estimated: \u001b[1m4.0%\u001b[0m\n", "\n", "\u001b[92mβœ… Scrublet Analysis Completed Successfully!\u001b[0m\n", " \u001b[92mβœ“ Results added to AnnData object:\u001b[0m\n", " \u001b[96mβ€’ 'doublet_score': \u001b[1mDoublet scores\u001b[0m\u001b[96m (adata.obs)\u001b[0m\n", " \u001b[96mβ€’ 'predicted_doublet': \u001b[1mBoolean predictions\u001b[0m\u001b[96m (adata.obs)\u001b[0m\n", " \u001b[96mβ€’ 'scrublet': \u001b[1mParameters and metadata\u001b[0m\u001b[96m (adata.uns)\u001b[0m\n", " \u001b[92mβœ“ Scrublet completed: \u001b[1m42\u001b[0m\u001b[92m doublets removed (1.6%)\u001b[0m\n", "πŸ” [2025-11-03 14:00:25] Running preprocessing in 'cpu' mode...\n", "\u001b[96mBegin robust gene identification\u001b[0m\n", "\u001b[94m After filtration, 13697/13697 genes are kept.\u001b[0m\n", "\u001b[94m Among 13697 genes, 13697 genes are robust.\u001b[0m\n", "βœ… Robust gene identification completed successfully.\n", "\u001b[96mBegin size normalization: shiftlog and HVGs selection pearson\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ” Count Normalization:\u001b[0m\n", " \u001b[96mTarget sum: \u001b[1m10000.0\u001b[0m\n", " \u001b[96mExclude highly expressed: \u001b[1mTrue\u001b[0m\n", " \u001b[96mMax fraction threshold: \u001b[1m0.2\u001b[0m\n", " ⚠️ \u001b[93mExcluding \u001b[1m0\u001b[0m\u001b[93m highly-expressed genes from normalization computation\u001b[0m\n", " \u001b[93mExcluded genes: \u001b[1m[]\u001b[0m\n", "\n", "\u001b[92mβœ… Count Normalization Completed Successfully!\u001b[0m\n", " \u001b[92mβœ“ Processed: \u001b[1m2,598\u001b[0m\u001b[92m cells Γ— \u001b[1m13,697\u001b[0m\u001b[92m genes\u001b[0m\n", " \u001b[92mβœ“ Runtime: \u001b[1m0.11s\u001b[0m\n", "\n", "\u001b[95m\u001b[1mπŸ” Highly Variable Genes Selection (Experimental):\u001b[0m\n", " \u001b[96mMethod: \u001b[1mpearson_residuals\u001b[0m\n", " \u001b[96mTarget genes: \u001b[1m2,000\u001b[0m\n", " \u001b[96mTheta (overdispersion): \u001b[1m100\u001b[0m\n", "\n", "\u001b[92mβœ… Experimental HVG Selection Completed Successfully!\u001b[0m\n", " \u001b[92mβœ“ Selected: \u001b[1m2,000\u001b[0m\u001b[92m highly variable genes out of \u001b[1m13,697\u001b[0m\u001b[92m total (14.6%)\u001b[0m\n", " \u001b[92mβœ“ Results added to AnnData object:\u001b[0m\n", " \u001b[96mβ€’ 'highly_variable': \u001b[1mBoolean vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[96mβ€’ 'highly_variable_rank': \u001b[1mFloat vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[96mβ€’ 'highly_variable_nbatches': \u001b[1mInt vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[96mβ€’ 'highly_variable_intersection': \u001b[1mBoolean vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[96mβ€’ 'means': \u001b[1mFloat vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[96mβ€’ 'variances': \u001b[1mFloat vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", " \u001b[96mβ€’ 'residual_variances': \u001b[1mFloat vector\u001b[0m\u001b[96m (adata.var)\u001b[0m\n", "\u001b[94m Time to analyze data in cpu: 1.18 seconds.\u001b[0m\n", "βœ… Preprocessing completed successfully.\n", "\u001b[92m Added:\u001b[0m\n", "\u001b[96m 'highly_variable_features', boolean vector (adata.var)\u001b[0m\n", "\u001b[96m 'means', float vector (adata.var)\u001b[0m\n", "\u001b[96m 'variances', float vector (adata.var)\u001b[0m\n", "\u001b[96m 'residual_variances', float vector (adata.var)\u001b[0m\n", "\u001b[96m 'counts', raw counts layer (adata.layers)\u001b[0m\n", "\u001b[94m End of size normalization: shiftlog and HVGs selection pearson\u001b[0m\n", "computing PCAπŸ”\n", " with n_comps=50\n", " πŸ–₯️ Using sklearn PCA for CPU computation\n", " \u001b[96mπŸ–₯️ sklearn PCA backend: CPU computation\u001b[0m\n", " finishedβœ… (0:00:00)\n", "πŸ–₯️ Using Scanpy CPU to calculate neighbors...\n", "\n", "\u001b[95m\u001b[1mπŸ” K-Nearest Neighbors Graph Construction:\u001b[0m\n", " \u001b[96mMode: \u001b[1mcpu\u001b[0m\n", " \u001b[96mNeighbors: \u001b[1m15\u001b[0m\n", " \u001b[96mMethod: \u001b[1mumap\u001b[0m\n", " \u001b[96mMetric: \u001b[1meuclidean\u001b[0m\n", " \u001b[96mRepresentation: \u001b[1mscaled|original|X_pca\u001b[0m\n", " \u001b[96mPCs used: \u001b[1m50\u001b[0m\n", "computing neighbors\n", " \u001b[92mπŸ” Computing neighbor distances...\u001b[0m\n", " \u001b[92mπŸ” Computing connectivity matrix...\u001b[0m\n", " \u001b[96mπŸ’‘ Using UMAP-style connectivity\u001b[0m\n", " \u001b[92mβœ“ Graph is fully connected\u001b[0m\n", "\n", "\u001b[92mβœ… KNN Graph Construction Completed Successfully!\u001b[0m\n", " \u001b[92mβœ“ Processed: \u001b[1m2,598\u001b[0m\u001b[92m cells with \u001b[1m15\u001b[0m\u001b[92m neighbors each\u001b[0m\n", " \u001b[92mβœ“ Results added to AnnData object:\u001b[0m\n", " \u001b[96mβ€’ 'neighbors': \u001b[1mNeighbors metadata\u001b[0m\u001b[96m (adata.uns)\u001b[0m\n", " \u001b[96mβ€’ 'distances': \u001b[1mDistance matrix\u001b[0m\u001b[96m (adata.obsp)\u001b[0m\n", " \u001b[96mβ€’ 'connectivities': \u001b[1mConnectivity matrix\u001b[0m\u001b[96m (adata.obsp)\u001b[0m\n", " finished: added to `.uns['neighbors']`\n", " `.obsp['distances']`, distances for each pair of neighbors\n", " `.obsp['connectivities']`, weighted adjacency matrix (0:00:02)\n", "running Leiden clustering\n", " finished: found 9 clusters and added\n", " 'leiden', the cluster labels (adata.obs, categorical) (0:00:00)\n", "πŸ” [2025-11-03 14:00:30] Running UMAP in 'cpu' mode...\n", "πŸ–₯️ Using Scanpy CPU UMAP...\n", "\n", "\u001b[95m\u001b[1mπŸ” UMAP Dimensionality Reduction:\u001b[0m\n", " \u001b[96mMode: \u001b[1mcpu\u001b[0m\n", " \u001b[96mMethod: \u001b[1mumap\u001b[0m\n", " \u001b[96mComponents: \u001b[1m2\u001b[0m\n", " \u001b[96mMin distance: \u001b[1m0.5\u001b[0m\n", "{'n_neighbors': 15, 'method': 'umap', 'random_state': 0, 'metric': 'euclidean', 'use_rep': 'scaled|original|X_pca', 'n_pcs': 50}\n", " \u001b[92mπŸ” Computing UMAP parameters...\u001b[0m\n", " \u001b[92mπŸ” Computing UMAP embedding (classic method)...\u001b[0m\n", "\n", "\u001b[92mβœ… UMAP Dimensionality Reduction Completed Successfully!\u001b[0m\n", " \u001b[92mβœ“ Embedding shape: \u001b[1m2,598\u001b[0m\u001b[92m cells Γ— \u001b[1m2\u001b[0m\u001b[92m dimensions\u001b[0m\n", " \u001b[92mβœ“ Results added to AnnData object:\u001b[0m\n", " \u001b[96mβ€’ 'X_umap': \u001b[1mUMAP coordinates\u001b[0m\u001b[96m (adata.obsm)\u001b[0m\n", " \u001b[96mβ€’ 'umap': \u001b[1mUMAP parameters\u001b[0m\u001b[96m (adata.uns)\u001b[0m\n", "βœ… UMAP completed successfully.\n" ] }, { "data": { "text/plain": [ "AnnData object with n_obs Γ— n_vars = 2598 Γ— 2000\n", " obs: 'nUMIs', 'mito_perc', 'ribo_perc', 'hb_perc', 'detected_genes', 'cell_complexity', 'passing_mt', 'passing_nUMIs', 'passing_ngenes', 'n_genes', 'doublet_score', 'predicted_doublet', 'leiden'\n", " var: 'gene_ids', 'mt', 'ribo', 'hb', 'n_cells', 'percent_cells', 'robust', 'means', 'variances', 'residual_variances', 'highly_variable_rank', 'highly_variable_features'\n", " uns: 'scrublet', 'status', 'status_args', 'REFERENCE_MANU', 'log1p', 'hvg', 'pca', 'scaled|original|pca_var_ratios', 'scaled|original|cum_sum_eigenvalues', 'neighbors', 'leiden', 'umap'\n", " obsm: 'X_pca', 'scaled|original|X_pca', 'X_umap'\n", " varm: 'PCs', 'scaled|original|pca_loadings'\n", " layers: 'counts', 'scaled'\n", " obsp: 'distances', 'connectivities'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#quantity control\n", "adata=ov.pp.qc(adata,\n", " tresh={'mito_perc': 0.05, 'nUMIs': 500, 'detected_genes': 250})\n", "#normalize and high variable genes (HVGs) calculated\n", "adata=ov.pp.preprocess(adata,mode='shiftlog|pearson',n_HVGs=2000,target_sum=1e4)\n", "\n", "#save the whole genes and filter the non-HVGs\n", "adata.raw = adata\n", "adata = adata[:, adata.var.highly_variable_features]\n", "\n", "#scale the adata.X\n", "ov.pp.scale(adata)\n", "\n", "#Dimensionality Reduction\n", "ov.pp.pca(adata,layer='scaled',n_pcs=50)\n", "\n", "#Neighbourhood graph construction\n", "ov.pp.neighbors(adata, n_neighbors=15, n_pcs=50,\n", " use_rep='scaled|original|X_pca')\n", "\n", "#clusters\n", "ov.pp.leiden(adata)\n", "\n", "#Dimensionality Reduction for visualization(X_mde=X_umap+GPU)\n", "ov.pp.umap(adata)\n", "adata" ] }, { "cell_type": "code", "execution_count": 5, "id": "7f72d4ce-a9d8-4477-8c1a-1a71c78888eb", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "image/png": { "height": 284, "width": 300 } }, "output_type": "display_data" } ], "source": [ "ov.pl.umap(\n", " adata,\n", " color='leiden'\n", ")" ] }, { "cell_type": "markdown", "id": "f4fc94ad-7789-4c85-b72f-1900fd966bf4", "metadata": {}, "source": [ "## Automated Annotation\n", "\n", "We have unified all automatic annotation algorithms into the `omicverse.single.Annotation` class." ] }, { "cell_type": "code", "execution_count": 7, "id": "67107b56-d003-4d7e-905b-ab5b6235fe2a", "metadata": {}, "outputs": [], "source": [ "obj=ov.single.Annotation(adata)" ] }, { "cell_type": "markdown", "id": "b7212637-43f8-46b8-b1f7-340a22b78ad8", "metadata": {}, "source": [ "### Celltypist Automated Annotation\n", "\n", "Here, we introduce the first algorithm, Celltypist, published in Cell and Science, which we have integrated into the automatic annotation module of Omicverse. It is important to note that to obtain the optimal pre-trained model, we have incorporated Agent for query processing." ] }, { "cell_type": "code", "execution_count": 8, "id": "7e21b358-c8d0-4f78-a0d4-75e77f2969aa", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CellTypist model table saved to self.celltypist_models_df\n", "βœ“ LLM-selected CellTypist models:\n", " - Immune_All_Low.pkl: Immune_All_Low.pkl\n", " - Immune_All_High.pkl: Immune_All_High.pkl\n", " - Healthy_COVID19_PBMC.pkl: Healthy_COVID19_PBMC.pkl\n", " - Adult_COVID19_PBMC.pkl: Adult_COVID19_PBMC.pkl\n", " - PaediatricAdult_COVID19_PBMC.pkl: PaediatricAdult_COVID19_PBMC.pkl\n" ] }, { "data": { "text/html": [ "
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modeldescriptionversionNo_celltypessourcedatedefaultllm_reason
0Immune_All_Low.pklimmune sub-populations combined from 20 tissue...v298https://doi.org/10.1126/science.abl51972022-07-16 00:20:42.927778TrueHigh-resolution immune reference (98 immune su...
1Immune_All_High.pklimmune populations combined from 20 tissues of...v232https://doi.org/10.1126/science.abl51972022-07-16 08:53:00.959521NaNCompact immune reference (32 broad immune popu...
2Healthy_COVID19_PBMC.pklperipheral blood mononuclear cell types from h...v151https://doi.org/10.1038/s41591-021-01329-22022-03-10 05:08:08.224597NaNPBMC-specific reference derived from healthy a...
3Adult_COVID19_PBMC.pklperipheral blood mononuclear cell types from C...v120https://doi.org/10.1038/s41591-020-0944-y2024-06-24 19:37:48.634397NaNPBMC reference from adult human donors (COVID-...
4PaediatricAdult_COVID19_PBMC.pklperipheral blood mononuclear cell types of pae...v142https://doi.org/10.1038/s41586-021-04345-x2025-10-15 00:51:41.857714NaNPBMC reference spanning pediatric and adult hu...
\n", "
" ], "text/plain": [ " model \\\n", "0 Immune_All_Low.pkl \n", "1 Immune_All_High.pkl \n", "2 Healthy_COVID19_PBMC.pkl \n", "3 Adult_COVID19_PBMC.pkl \n", "4 PaediatricAdult_COVID19_PBMC.pkl \n", "\n", " description version No_celltypes \\\n", "0 immune sub-populations combined from 20 tissue... v2 98 \n", "1 immune populations combined from 20 tissues of... v2 32 \n", "2 peripheral blood mononuclear cell types from h... v1 51 \n", "3 peripheral blood mononuclear cell types from C... v1 20 \n", "4 peripheral blood mononuclear cell types of pae... v1 42 \n", "\n", " source date \\\n", "0 https://doi.org/10.1126/science.abl5197 2022-07-16 00:20:42.927778 \n", "1 https://doi.org/10.1126/science.abl5197 2022-07-16 08:53:00.959521 \n", "2 https://doi.org/10.1038/s41591-021-01329-2 2022-03-10 05:08:08.224597 \n", "3 https://doi.org/10.1038/s41591-020-0944-y 2024-06-24 19:37:48.634397 \n", "4 https://doi.org/10.1038/s41586-021-04345-x 2025-10-15 00:51:41.857714 \n", "\n", " default llm_reason \n", "0 True High-resolution immune reference (98 immune su... \n", "1 NaN Compact immune reference (32 broad immune popu... \n", "2 NaN PBMC-specific reference derived from healthy a... \n", "3 NaN PBMC reference from adult human donors (COVID-... \n", "4 NaN PBMC reference spanning pediatric and adult hu... " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "res=obj.query_reference(\n", " source='celltypist',\n", " data_desc='pbmc of human',\n", " llm_model='gpt-5-mini',\n", " llm_api_key='sk-*',\n", " llm_provider='openai',\n", " llm_base_url='https://api.openai.com/v1',\n", ")\n", "res.head()" ] }, { "cell_type": "markdown", "id": "62d96b12-6e71-462b-9386-fc316f8f2e0b", "metadata": {}, "source": [ "Based on the LLM's recommendation, we found that `Immune_All_Low.pkl` is the model best suited for our data. Then we use `download_reference_pkl` function to download this model." ] }, { "cell_type": "code", "execution_count": 9, "id": "454aa482-8431-4b16-9a84-c5519948f208", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/scratch/users/steorra/analysis/omic_test\n" ] } ], "source": [ "!pwd" ] }, { "cell_type": "code", "execution_count": 12, "id": "992453ae-a817-4946-829d-7cea053f7e4b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[94mπŸ” Downloading data to /scratch/users/steorra/analysis/omic_test/models/Immune_All_Low.pkl\u001b[0m\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[92mDownloading\u001b[0m: 100%|\u001b[32mβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰\u001b[0m| 2.82M/2.82M [00:01<00:00, 1.90MB/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[92mβœ… Download completed\u001b[0m\n", "https://celltypist.cog.sanger.ac.uk/models/Pan_Immune_CellTypist/v2/Immune_All_Low.pkl\n", "βœ“ Model saved to /scratch/users/steorra/analysis/omic_test/models/Immune_All_Low.pkl\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "data": { "text/plain": [ "'/scratch/users/steorra/analysis/omic_test/models/Immune_All_Low.pkl'" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "obj.download_reference_pkl(\n", " 'Immune_All_Low.pkl',\n", " save_path=\"/scratch/users/steorra/analysis/omic_test/models/Immune_All_Low.pkl\",\n", " #force_download=True\n", ")" ] }, { "cell_type": "markdown", "id": "ec1e1e31-09ff-49ac-987f-884bacdad3b1", "metadata": {}, "source": [ "After download the model, we need to load it to our Annotation class." ] }, { "cell_type": "code", "execution_count": 14, "id": "e4246482-b149-4da0-8ae4-4a37e985f8ef", "metadata": {}, "outputs": [], "source": [ "obj.add_reference_pkl('/scratch/users/steorra/analysis/omic_test/models/Immune_All_Low.pkl')" ] }, { "cell_type": "code", "execution_count": 16, "id": "68f66288-4492-470c-a112-4b6cab467a60", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Age-associated B cells', 'Alveolar macrophages', 'B cells',\n", " 'CD16+ NK cells', 'CD16- NK cells'], dtype=object)" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "obj.model.cell_types[:5]" ] }, { "cell_type": "code", "execution_count": 17, "id": "351bb169-a914-434b-bdf2-d16ae55787bf", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "WARNING:celltypist.logger:⚠️ Warning: invalid expression matrix, expect ALL genes and log1p normalized expression to 10000 counts per cell. The prediction result may not be accurate\n", "running Leiden clustering\n", " finished: found 55 clusters and added\n", " 'over_clustering', the cluster labels (adata.obs, categorical) (0:00:00)\n", "Celltypist prediction saved to adata.obs['celltypist_prediction']\n", "Celltypist decision matrix saved to adata.obsm['celltypist_decision_matrix']\n", "Celltypist probability matrix saved to adata.obsm['celltypist_probability_matrix']\n" ] } ], "source": [ "obj.annotate(\n", " method='celltypist'\n", ")" ] }, { "cell_type": "code", "execution_count": 18, "id": "ed42ee3d-3eb0-4610-8c73-910bb73eb474", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 291, "width": 464 } }, "output_type": "display_data" } ], "source": [ "ov.pl.embedding(\n", " obj.adata,\n", " basis='X_umap',\n", " color='celltypist_prediction'\n", ")" ] }, { "cell_type": "markdown", "id": "9cb50be2-10ed-4fbd-b623-e78be030007f", "metadata": {}, "source": [ "### gpt4celltype Automated Annotation\n", "\n", "Besides, we also provide the gpt4celltype to annotate the celltype automatically. " ] }, { "cell_type": "code", "execution_count": 20, "id": "f24193b4-1c56-436c-841c-cd8be101e5bc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "...get cell type marker\n", "ranking genes\n", " finished: added to `.uns['rank_genes_groups']`\n", " 'names', sorted np.recarray to be indexed by group ids\n", " 'scores', sorted np.recarray to be indexed by group ids\n", " 'logfoldchanges', sorted np.recarray to be indexed by group ids\n", " 'pvals', sorted np.recarray to be indexed by group ids\n", " 'pvals_adj', sorted np.recarray to be indexed by group ids (0:00:00)\n", "Note: AGI API key found: returning the cell type annotations.\n", "Note: It is always recommended to check the results returned by GPT-4 in case of AI hallucination, before going to downstream analysis.\n", "GPT4celltype prediction saved to adata.obs['gpt4celltype_prediction']\n" ] } ], "source": [ "import os\n", "os.environ['AGI_API_KEY'] = 'sk-*' # Replace with your actual API key\n", "\n", "obj=ov.single.Annotation(adata)\n", "result = obj.annotate(\n", " method='gpt4celltype',\n", " tissuename='PBMC', speciename='human',\n", " model='gpt-5-mini', provider='openai',\n", " topgenenumber=5 \n", ")\n" ] }, { "cell_type": "code", "execution_count": 21, "id": "a3d4d981-10f6-4dd0-9b0e-1cdd3191a4cd", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "image/png": { "height": 284, "width": 450 } }, "output_type": "display_data" } ], "source": [ "ov.pl.embedding(\n", " obj.adata,\n", " basis='X_umap',\n", " color='gpt4celltype_prediction'\n", ")" ] }, { "cell_type": "markdown", "id": "711e145b-260c-42c2-8e38-3f61cfa51f5b", "metadata": {}, "source": [ "### SCSA Automated Annotation\n", "\n", "We haved a clearly detailed tutorial of SCSA in https://omicverse.readthedocs.io/en/latest/Tutorials-single/t_cellanno/\n", "\n", "Here, we only provided a simple tutorial to demonstrate the ability of Annotation class." ] }, { "cell_type": "code", "execution_count": null, "id": "1b67a407-b0b8-41c7-b4cc-8ca372145847", "metadata": {}, "outputs": [], "source": [ "obj=ov.single.Annotation(adata)" ] }, { "cell_type": "markdown", "id": "1503615e-9483-42c4-9b05-94c409dca03e", "metadata": {}, "source": [ "To perform the SCSA automated annotation, we need to download the database at first." ] }, { "cell_type": "code", "execution_count": 22, "id": "1ddf0c8e-61ab-40b0-8694-f3778257222b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[94mπŸ” Downloading data to temp/pySCSA_2024_v1_plus.db\u001b[0m\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[92mDownloading\u001b[0m: 100%|\u001b[32mβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰\u001b[0m| 14.8M/14.8M [00:14<00:00, 1.03MB/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\u001b[92mβœ… Download completed\u001b[0m\n", "SCSA database saved to temp/pySCSA_2024_v1_plus.db\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "data": { "text/plain": [ "'temp/pySCSA_2024_v1_plus.db'" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "obj.download_scsa_db(\n", " 'temp/pySCSA_2024_v1_plus.db'\n", ")" ] }, { "cell_type": "code", "execution_count": 23, "id": "dd0e7ccf-e79c-4e6c-956c-e3b2045df367", "metadata": {}, "outputs": [], "source": [ "obj.add_reference_scsa_db(\n", " 'temp/pySCSA_2024_v1_plus.db'\n", ")" ] }, { "cell_type": "code", "execution_count": 24, "id": "81cdbd79-b54f-4fd1-aeb7-82c529f8d3ee", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ranking genes\n", " finished (0:00:00)\n", "...Auto annotate cell\n", "\u001b[96mπŸ” Version V2.2 [2024/12/18]\u001b[0m\n", "\u001b[94mπŸ“Š DB load: \u001b[92mGO_items:47347\u001b[94m, \u001b[92mHuman_GO:3\u001b[94m, \u001b[92mMouse_GO:3\u001b[94m,\n", " \u001b[92mCellMarkers:82887\u001b[94m, \u001b[92mCancerSEA:1574\u001b[94m, \u001b[92mPanglaoDB:24223\u001b[94m\n", " \u001b[92mEnsembl_HGNC:61541\u001b[94m, \u001b[92mEnsembl_Mouse:55414\u001b[0m\n", "\n", "\u001b[96mπŸ” Version V2.2 [2024/12/18]\u001b[0m\n", "\u001b[94mπŸ“Š DB load: \u001b[92mGO_items:47347\u001b[94m, \u001b[92mHuman_GO:3\u001b[94m, \u001b[92mMouse_GO:3\u001b[94m,\n", " \u001b[92mCellMarkers:82887\u001b[94m, \u001b[92mCancerSEA:1574\u001b[94m, \u001b[92mPanglaoDB:24223\u001b[94m\n", " \u001b[92mEnsembl_HGNC:61541\u001b[94m, \u001b[92mEnsembl_Mouse:55414\u001b[0m\n", "\u001b[94mπŸ“¦ Load markers: \u001b[92m70276\u001b[0m\n", "\n", "\u001b[1m\u001b[96m============================================================\u001b[0m\n", "\u001b[1m\u001b[96mπŸ”¬ Analyzing 9 clusters...\u001b[0m\n", "\u001b[1m\u001b[96m============================================================\u001b[0m\n", "\n", "\u001b[96m[1/9] Cluster 0 \u001b[94mβ”‚ \u001b[92m48 genes\u001b[94m β”‚ \u001b[92m988 other genes\u001b[0m\n", "\u001b[96m[2/9] Cluster 1 \u001b[94mβ”‚ \u001b[92m29 genes\u001b[94m β”‚ \u001b[92m1006 other genes\u001b[0m\n", "\u001b[96m[3/9] Cluster 2 \u001b[94mβ”‚ \u001b[92m346 genes\u001b[94m β”‚ \u001b[92m930 other genes\u001b[0m\n", "\u001b[96m[4/9] Cluster 3 \u001b[94mβ”‚ \u001b[92m118 genes\u001b[94m β”‚ \u001b[92m946 other genes\u001b[0m\n", "\u001b[96m[5/9] Cluster 4 \u001b[94mβ”‚ \u001b[92m51 genes\u001b[94m β”‚ \u001b[92m1011 other genes\u001b[0m\n", "\u001b[96m[6/9] Cluster 5 \u001b[94mβ”‚ \u001b[92m160 genes\u001b[94m β”‚ \u001b[92m934 other genes\u001b[0m\n", "\u001b[96m[7/9] Cluster 6 \u001b[94mβ”‚ \u001b[92m429 genes\u001b[94m β”‚ \u001b[92m865 other genes\u001b[0m\n", "\u001b[96m[8/9] Cluster 7 \u001b[94mβ”‚ \u001b[92m274 genes\u001b[94m β”‚ \u001b[92m890 other genes\u001b[0m\n", "\u001b[96m[9/9] Cluster 8 \u001b[94mβ”‚ \u001b[92m144 genes\u001b[94m β”‚ \u001b[92m944 other genes\u001b[0m\n", "\n", "\u001b[1m\u001b[96m============================================================\u001b[0m\n", "\u001b[92mβœ… Cluster analysis completed! (9/9 processed)\u001b[0m\n", "\u001b[1m\u001b[96m============================================================\u001b[0m\n", "\n", "\n", "\u001b[1m\u001b[95m================================================================================\u001b[0m\n", "\u001b[1m\u001b[96mπŸ“‹ Cell Type Annotation Results\u001b[0m\n", "\u001b[1m\u001b[95m================================================================================\u001b[0m\n", "\n", "\u001b[1m\u001b[94mCluster Type Cell Type Score Times\u001b[0m\n", "\u001b[95m--------------------------------------------------------------------------------\u001b[0m\n", "\u001b[96m0 \u001b[0m \u001b[93m⚠️ ? \u001b[0m \u001b[92mT cell|CD4+ T cell \u001b[0m \u001b[94m9.945870198596303|5.360011326945353\u001b[0m 1.86\n", "\u001b[96m1 \u001b[0m \u001b[93m⚠️ ? \u001b[0m \u001b[92mT cell|Naive CD8+ T cell \u001b[0m \u001b[94m5.451241689383974|4.768292656196209\u001b[0m 1.14\n", "\u001b[96m2 \u001b[0m \u001b[93m⚠️ ? \u001b[0m \u001b[92mMonocyte|Macrophage \u001b[0m \u001b[94m14.354365574078278|8.528970464022539\u001b[0m 1.68\n", "\u001b[96m3 \u001b[0m \u001b[92mβœ… Good \u001b[0m \u001b[92mB cell \u001b[0m \u001b[94m13.78474042389334\u001b[0m 4.02\n", "\u001b[96m4 \u001b[0m \u001b[93m⚠️ ? \u001b[0m \u001b[92mNatural killer cell|T cell \u001b[0m \u001b[94m8.221301039648155|6.61215702423662\u001b[0m 1.24\n", "\u001b[96m5 \u001b[0m \u001b[92mβœ… Good \u001b[0m \u001b[92mNatural killer cell \u001b[0m \u001b[94m15.26958201763484\u001b[0m 3.82\n", "\u001b[96m6 \u001b[0m \u001b[93m⚠️ ? \u001b[0m \u001b[92mMonocyte|Macrophage \u001b[0m \u001b[94m10.86288578272659|8.672538874890472\u001b[0m 1.25\n", "\u001b[96m7 \u001b[0m \u001b[93m⚠️ ? \u001b[0m \u001b[92mDendritic cell|Monocyte \u001b[0m \u001b[94m9.461295981098543|5.912723904106833\u001b[0m 1.60\n", "\u001b[96m8 \u001b[0m \u001b[92mβœ… Good \u001b[0m \u001b[92mMegakaryocyte \u001b[0m \u001b[94m10.05563188309469\u001b[0m 2.01\n", "\u001b[95m================================================================================\u001b[0m\n", "\n", "...cell type added to scsa_prediction on obs of anndata\n" ] } ], "source": [ "obj.annotate(\n", " method='scsa',\n", " cluster_key='leiden',\n", " foldchange=1.5,\n", " pvalue=0.01,\n", " celltype='normal',\n", " target='cellmarker',\n", " tissue='All', \n", ")" ] }, { "cell_type": "code", "execution_count": 25, "id": "5b85ee0b-4afe-47f4-a21a-0d8dd2b28a88", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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