human-cell-atlas

Here are 6 public repositories matching this topic...

scverse / scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

deep-learning scrna-seq variational-autoencoder variational-bayes single-cell-genomics single-cell-rna-seq deep-generative-model cite-seq human-cell-atlas scverse

Updated Feb 28, 2025
Python

spacetx / starfish

Star

starfish: unified pipelines for image-based transcriptomics

python transcriptomics imaging human-cell-atlas

Updated Feb 24, 2025
Python

The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.

scrna-seq single-cell-genomics single-cell-rna-seq human-cell-atlas