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MetabolSSMF  

Simplex-Structured Matrix Factorisation for Metabolomics Analysis
View on CRAN: Click here


Download and install MetabolSSMF package within the R console
Install from CRAN:
install.packages("MetabolSSMF")

Install from Github:
library("remotes")
install_github("cran/MetabolSSMF")

Install by package version:
library("remotes")
install_version("MetabolSSMF", "0.1.0")



Attach the package and use:
library("MetabolSSMF")
Maintained by
Wenxuan Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-05
Latest Update: 2025-03-05
Description:
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>.
How to cite:
Wenxuan Liu (2025). MetabolSSMF: Simplex-Structured Matrix Factorisation for Metabolomics Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/MetabolSSMF. Accessed 12 Sep. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for MetabolSSMF
Functions, R codes and Examples using the MetabolSSMF R package
Full MetabolSSMF package functions and examples
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