Accelerated, Python-only, single-cell integration benchmarking metrics
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Updated
Aug 12, 2026 - Python
Accelerated, Python-only, single-cell integration benchmarking metrics
Notebooks used in scvi-tools tutorials
Brain-Referenced In vivo-to-in vitro Developmental Guidance and Evaluation.
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
Code for the MiSTR microfluidic stem cell atlas study of early human neural patterning.
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 single-cell framework for immune aging using scVI, donor-aware analyses, molecular signatures, and age prediction.
Reproducibility project for Melms et al. (Nature 2021) COVID-19 single-nucleus RNA-seq lung atlas
End-to-end single-cell RNA-seq pipeline with scVI, Scanpy, and CellTypist for QC, clustering, annotation, and differential expression.
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