Accelerated, Python-only, single-cell integration benchmarking metrics
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Updated
Sep 22, 2026 - Python
Accelerated, Python-only, single-cell integration benchmarking metrics
Notebooks used in scvi-tools tutorials
Template repository for creating novel models with scvi-tools
scVIVA-Tools: A unified toolkit for spatial transcriptomics analysis
Deep Learning Based Models for Preimplantation Mouse and Human Development
Sobolev alignment of deep probabilistic models for comparing single cell profiles
Variational Inference for Cell Type Evolution
MCP (Model Context Protocol) server for deep probabilistic analysis of single-cell omics data using scvi-tools
Lightweight helper to install scvi-tools in Google Colab
scRNA Analysis tutorials
Single-cell RNA-seq analysis of mouse gastrulation using data from Argelaguet and Pijuan-Sala. The project includes preprocessing, SCVI-based dataset integration, differential gene expression analysis, and a no-code interface powered by Chatmol for natural language interaction with the pipeline.
Reproducible ImmGenT T-cell reference integration pipeline
Code for the MiSTR microfluidic stem cell atlas study of early human neural patterning.
Cross-species (human/mouse) islet scRNA-seq integration over a 1:1 ortholog gene space, with a from-scratch VAE and scVI. A learning project.
FAIR single-cell RNA-seq pipeline mapping nerve–tumour–immune ligand–receptor crosstalk in glioblastoma across 170 donors (CELLxGENE Census, two sequencing-depth arms). Compartment integrity enforced as build gates against a held-out annotation. Snakemake + scvi-tools + scanpy + LIANA + marimo.
Reproducible single-cell framework for immune aging using scVI, donor-aware analyses, molecular signatures, and age prediction.
Reproducible benchmark of four scRNA-seq cell type annotation methods (SingleR, CellTypist, ACTINN, scANVI) on PBMC3K
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