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M3JF  

Multi-Modal Matrix Joint Factorization for Integrative Multi-Omics Data Analysis
View on CRAN: Click here


Download and install M3JF package within the R console
Install from CRAN:
install.packages("M3JF")

Install from Github:
library("remotes")
install_github("cran/M3JF")

Install by package version:
library("remotes")
install_version("M3JF", "0.1.0")



Attach the package and use:
library("M3JF")
Maintained by
Xiaoyao Yin
[Scholar Profile | Author Map]
First Published: 2023-08-14
Latest Update: 2023-08-14
Description:
Multi modality data matrices are factorized conjointly into the multiplication of a shared sub-matrix and multiple modality specific sub-matrices, group sparse constraint is applied to the shared sub-matrix to capture the homogeneous and heterogeneous information, respectively. Then the samples are classified by clustering the shared sub-matrix with kmeanspp(), a new version of kmeans() developed here to obtain concordant results. The package also provides the cluster number estimation by rotation cost. Moreover, cluster specific features could be retrieved using hypergeometric tests.
How to cite:
Xiaoyao Yin (2023). M3JF: Multi-Modal Matrix Joint Factorization for Integrative Multi-Omics Data Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/M3JF. Accessed 01 Apr. 2025.
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Complete documentation for M3JF
Functions, R codes and Examples using the M3JF R package
Full M3JF package functions and examples
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