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GeneNMF: 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.

Version:0.9.2
Depends:R (≥ 4.3.0)
Imports:RcppML,Matrix, stats, methods, utils,Seurat (≥ 4.3.0),cluster,lsa,irlba,pheatmap,dendextend,viridis,colorspace
Suggests:knitr,rmarkdown,fgsea,msigdbr
Published:2025-09-11
DOI:10.32614/CRAN.package.GeneNMF
Author:Massimo AndreattaORCID iD [aut, cre], Santiago CarmonaORCID iD [aut]
Maintainer:Massimo Andreatta <massimo.andreatta at unige.ch>
BugReports:https://github.com/carmonalab/GeneNMF/issues
License:GPL-3
URL:https://github.com/carmonalab/GeneNMF
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:GeneNMF results

Documentation:

Reference manual:GeneNMF.html ,GeneNMF.pdf
Vignettes:Index of GeneNMF vignettes (source)

Downloads:

Package source: GeneNMF_0.9.2.tar.gz
Windows binaries: r-devel:GeneNMF_0.9.2.zip, r-release:GeneNMF_0.9.2.zip, r-oldrel:GeneNMF_0.9.2.zip
macOS binaries: r-release (arm64):GeneNMF_0.9.2.tgz, r-oldrel (arm64):GeneNMF_0.9.2.tgz, r-release (x86_64):GeneNMF_0.9.2.tgz, r-oldrel (x86_64):GeneNMF_0.9.2.tgz
Old sources: GeneNMF archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=GeneNMFto link to this page.


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