Multi-Modal Matrix Joint Factorization for Integrative Multi-Omics Data Analysis
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 13
- Examples that run
- 100%13 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 93%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing M3JF adds 45 packages (19 with compiled code, 36 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, colorspace 2.0 MB. 1 more not on CRAN is not measured.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.0Latest2023-08-14 · current release
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-08-14
- Total releases
- 1 / 3 yrs
- License
- GPL-3 OSI
- Download size
- 22 KB
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