Simplex-Structured Matrix Factorisation for Metabolomics Analysis [R package MetabolSSMF version 0.1.0]

MetabolSSMF: Simplex-Structured Matrix Factorisation for Metabolomics Analysis

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年03月05日

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 + file LICENSE

NeedsCompilation: no

Materials: README

CRAN checks: MetabolSSMF results