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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.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-devel (arm64): MetabolSSMF_0.1.0.tgz, r-release (arm64): MetabolSSMF_0.1.0.tgz, r-oldrel (arm64): MetabolSSMF_0.1.0.tgz, r-devel (x86_64): 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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