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:	2025-03-05
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 + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	MetabolSSMF results

Documentation:

Reference manual:	MetabolSSMF.html , MetabolSSMF.pdf
Vignettes:	MetabolSSMF (source, R code)

Downloads:

Package source:	MetabolSSMF_0.1.0.tar.gz
Windows binaries:	r-devel: MetabolSSMF_0.1.0.zip, r-release: MetabolSSMF_0.1.0.zip, r-oldrel: MetabolSSMF_0.1.0.zip
macOS binaries:	r-release (arm64): MetabolSSMF_0.1.0.tgz, r-oldrel (arm64): MetabolSSMF_0.1.0.tgz, r-release (x86_64): MetabolSSMF_0.1.0.tgz, r-oldrel (x86_64): MetabolSSMF_0.1.0.tgz

Linking:

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