UCell - Rank-based signature enrichment analysis for single-cell data
UCell is a package for evaluating gene signatures in single-cell datasets. UCell signature scores, based on the Mann-Whitney U statistic, are robust to dataset size and heterogeneity, and their calculation demands less computing time and memory than other available methods, enabling the processing of large datasets in a few minutes even on machines with limited computing power. UCell can be applied to any single-cell data matrix, and includes functions to directly interact with SingleCellExperiment and Seurat objects.
Last updated 5 months ago
singlecellgenesetenrichmenttranscriptomicsgeneexpressioncellbasedassays
132 stars 4.75 score 42 dependencies 2 dependentsGeneNMF - Non-Negative Matrix Factorization for Single-Cell Omics
A collection of methods to extract gene programs from single-cell gene expression data using non-negative matrix factorization (NMF). 'GeneNMF' contains functions to directly interact with the 'Seurat' toolkit and derive interpretable gene program signatures.
Last updated 2 months ago
61 stars 3.59 score 151 dependencies