MetabolSSMF: Simplex-Structured Matrix Factorisation for MetabolomicsAnalysis
Provides a framework to perform soft clustering using simplex-structured matrix factorisation (SSMF). The package contains a set of functions for determining the optimal number of prototypes, the optimal algorithmic parameters, the estimation confidence intervals and the diversity of clusters. Abdolali, Maryam & Gillis, Nicolas (2020) <doi:10.1137/20M1354982>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | LaplacesDemon,NMF,doParallel,foreach,iterators,lsei,mclust,tidyr |
| Suggests: | knitr,rmarkdown,caroline,ggsci,BiocManager,Biobase |
| Published: | 2025-03-05 |
| DOI: | 10.32614/CRAN.package.MetabolSSMF |
| Author: | Wenxuan Liu [aut, cre], Thomas Brendan Murphy [aut], Lorraine Brennan [aut] |
| Maintainer: | Wenxuan Liu <wenxuan.liu at ucdconnect.ie> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | MetabolSSMF results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=MetabolSSMFto link to this page.