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:
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