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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>.
Getting started
Browse package contents
Package details |
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| Author | Wenxuan Liu [aut, cre], Thomas Brendan Murphy [aut], Lorraine Brennan [aut] |
| Maintainer | Wenxuan Liu <wenxuan.liu@ucdconnect.ie> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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