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cff-version: 1.2.0
message: 'To cite package "MOFSR" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'MOFSR: Multi-Omics Fusion for Subtype Recognition'
version: 2.3.0
doi: 10.32614/CRAN.package.MOFSR
abstract: A comprehensive toolkit for integrating multi-modal biological data to discover
  disease subtypes and biological mechanisms. MOFSR provides 15 state-of-the-art multi-omics
  clustering algorithms (SNF, wSNF, CPCA, iClusterBayes, IntNMF, LRAcluster, MCIA,
  MOFA, NEMO, PINSPlus, RGCCA, SGCCA, CIMLR, BCC, LateFusion), 17 classification methods,
  parallel computing support, comprehensive visualization (UMAP, heatmaps, survival
  curves), data preprocessing (normalization, filtering, batch correction, QC), feature
  selection with bootstrap validation, and cluster quality assessment. All core algorithms
  are implemented internally for maximum compatibility, cross-platform support, and
  optimized performance. Works on Windows, macOS, and Linux without external dependencies
  for core functionality.
authors:
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-0452-742X
repository: https://zaoqu-liu.r-universe.dev
repository-code: https://github.com/Zaoqu-Liu/MOFSR
commit: ebcefdc51eb166ecacbe12441132af1af78d3457
url: https://zaoqu-liu.github.io/MOFSR/
date-released: '2026-01-29'
contact:
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-0452-742X