muscat

scde is a Bioconductor R package for Bayesian single-cell differential expression analysis using mixture models. It fits a per-cell error model (negative binomial + Poisson noise) to raw count data, t

3 shared topics • 1 shared operation

BPCells is a high-performance toolkit for large single-cell RNA-seq and ATAC-seq datasets. Use it when the user mentions BPCells, disk-backed sparse matrices, bitpacked single-cell storage, large 10x

3 shared topics

CellPhoneDB — repository of curated receptors, ligands, and their interactions for cell-cell communication analysis from single-cell RNA-seq data. Performs permutation-based statistical analysis (stat

3 shared topics

Use when working with CellRegMap — a Python framework for mapping context-specific genetic effects (sc-eQTL) in single-cell RNA-seq data. CellRegMap models genotype × cell-state interactions using a l

3 shared topics

Use when working with eQTL Catalogue — a uniformly processed, open-access resource of expression quantitative trait loci (eQTL) summary statistics from 100+ studies across bulk tissues, primary cell t

3 shared topics