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c-tran

General Multi-label Image Classification with Transformers

cellphonedb

cobolt

A Python package for jointly analyzing multimodal single-cell sequencing data

cpa

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.

crosslink

deep-learning-application

harmony

Fast, sensitive and accurate integration of single-cell data with Harmony

hpviewer

klcolor

sctransform

R package for modeling single cell UMI expression data using regularized negative binomial regression

seurat

R toolkit for single cell genomics

sns

illumina sequencing data analysis pipelines

spadescontig_readcoverage

uwot

An R package implementing the UMAP dimensionality reduction method.

yuhanh.github.io