netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity
Li Z, Melograna F, Hoskens H, Duroux D, Marazita M, Walsh S, Weinberg S, Shriver M, Müller-Myhsok B, Claes P, Van Steen K. netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity. Frontiers In Genetics 2023, 14: 1286800. PMID: 38125750, PMCID: PMC10731261, DOI: 10.3389/fgene.2023.1286800.Peer-Reviewed Original ResearchMulti-view clustering frameworkHeterogeneous data sourcesSingle-view dataMulti-view dataMultiple Canonical Correlation AnalysisMulti-view clusteringMulti-view featuresClustering frameworkTrue labelsData structureFacial imagesExtraneous dataRand indexBenchmark methodsNetwork representationSynthetic dataSparse multiple canonical correlation analysisData sourcesHierarchical clusteringClusteringCanonical correlation analysisSuperior performanceNetworkGenomic dataReal data analysis