Accelerated, Python-only, single-cell integration benchmarking metrics
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Updated
Oct 28, 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.
A variational autoencoder (VAE) for joint inference of cyclical dynamics and cellular state from single-cell RNA-seq data
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.
Code for the MiSTR microfluidic stem cell atlas study of early human neural patterning.
Sparse autoencoders on scVI latent space of the BoneMarrowMap haematopoietic atlas: functional programme discovery, RAG-LLM annotation, cross-lineage FP-Tree and progenitor commitment
Cross-cohort cell-type annotation of colorectal cancer scRNA-seq with scVI and scANVI: open-set novelty, calibration and conformal coverage under cohort and hospital shift
Single-cell RNA-seq analysis of ~100k lung cells: Scanpy, scVI integration, cell-type annotation and CellChat signalling
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