Package: M3JF
Type: Package
Title: Multi-Modal Matrix Joint Factorization for Integrative
        Multi-Omics Data Analysis
Version: 0.1.0
Date: 2023-07-25
Authors@R: person("Xiaoyao", "Yin", role = c("aut", "cre"), email = "xyyin@xmail.ncba.ac.cn")
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.
Imports: MASS, SNFtool, dplyr, InterSIM, stats
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-08-11 08:30:46 UTC; DELL
Author: Xiaoyao Yin [aut, cre]
Maintainer: Xiaoyao Yin <xyyin@xmail.ncba.ac.cn>
Repository: CRAN
Date/Publication: 2023-08-14 08:20:06 UTC
Built: R 4.6.0; ; 2026-04-25 20:32:03 UTC; unix
