{ "_id": "6a23c11d530b9bc726bdbeda", "Package": "MOFSR", "Type": "Package", "Title": "Multi-Omics Fusion for Subtype Recognition", "Version": "2.3.0", "Author": "Zaoqu Liu [aut, cre] ()", "Maintainer": "Zaoqu Liu ", "Authors@R": "c(\nperson(\"Zaoqu\", \"Liu\",\nemail = \"liuzaoqu@163.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-0452-742X\"))\n)", "Description": "A comprehensive toolkit for integrating multi-modal\nbiological data to discover disease subtypes and biological\nmechanisms. MOFSR provides 15 state-of-the-art multi-omics\nclustering algorithms (SNF, wSNF, CPCA, iClusterBayes, IntNMF,\nLRAcluster, MCIA, MOFA, NEMO, PINSPlus, RGCCA, SGCCA, CIMLR,\nBCC, LateFusion), 17 classification methods, parallel computing\nsupport, comprehensive visualization (UMAP, heatmaps, survival\ncurves), data preprocessing (normalization, filtering, batch\ncorrection, QC), feature selection with bootstrap validation,\nand cluster quality assessment. All core algorithms are\nimplemented internally for maximum compatibility,\ncross-platform support, and optimized performance. 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