Semi-supervised identification of cancer subgroups using survival outcomes and overlapping grouping information
Wei W, Sun Z, da Silveira W, Yu Z, Lawson A, Hardiman G, Kelemen L, Chung D. Semi-supervised identification of cancer subgroups using survival outcomes and overlapping grouping information. Statistical Methods In Medical Research 2018, 28: 2137-2149. PMID: 29336210, PMCID: PMC6922004, DOI: 10.1177/0962280217752980.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsAustraliaDatabases, FactualFemaleGenomicsHumansOvarian NeoplasmsSurvival AnalysisConceptsCancer subgroupsAustralian Ovarian Cancer StudyHigh-grade serous ovarian cancerCancer patient subgroupsSerous ovarian cancerMolecular featuresOvarian Cancer StudyCancer Genome AtlasSurvival outcomesTreatment of cancerCancer patientsPatient subgroupsOvarian cancerPersonalized treatmentCancer progressionGenome AtlasCancer studiesKey molecular featuresSubgroupsCancerClear benefitTreatmentPatientsClinicians