M2SMF: Multi-Modal Similarity Matrix Factorization for Integrative Multi-Omics Data Analysis

A new method to implement clustering from multiple modality data of certain samples, the function M2SMF() jointly factorizes multiple similarity matrices into a shared sub-matrix and several modality private sub-matrices, which is further used for clustering. Along with this method, we also provide function to calculate the similarity matrix and function to evaluate the best cluster number from the original data.

Version: 2.0
Depends: R (≥ 3.4.0)
Imports: dplyr, MASS, stats
Suggests: knitr, rmarkdown
Published: 2019-11-17
DOI: 10.32614/CRAN.package.M2SMF
Author: Xiaoyao Yin [aut, cre]
Maintainer: Xiaoyao Yin <yinxy1992 at sina.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: M2SMF results


Reference manual: M2SMF.pdf
Vignettes: An Introduction to the package M2SMF


Package source: M2SMF_2.0.tar.gz
Windows binaries: r-devel: M2SMF_2.0.zip, r-release: M2SMF_2.0.zip, r-oldrel: M2SMF_2.0.zip
macOS binaries: r-release (arm64): M2SMF_2.0.tgz, r-oldrel (arm64): M2SMF_2.0.tgz, r-release (x86_64): M2SMF_2.0.tgz, r-oldrel (x86_64): M2SMF_2.0.tgz
Old sources: M2SMF archive


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