GeneNMF: Non-Negative Matrix Factorization for Single-Cell Omics (original) (raw)
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 Andreatta  [aut, cre], Santiago Carmona [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 |
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