Fig. 4From: Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clusteringsurvClust identifies copy number patterns associated with patient survival outcome across various cancer types. a Circomap showing fraction genome altered (FGA) and gene-level copy number alterations in each tumor across colorectal (COAD), head and neck (HNSC), kidney renal papillary cell carcinoma (KIRP), low-grade glioma (LGG), liver (LIHC), lung adenocarcinoma (LUAD), ovarian (OV), soft tissue sarcoma (SARC), and endometiral (UCEC) cancers. The outer circle indicates the survClust membership. b survClust is more powerful than unsupervised clustering in identifying survival-associated copy number subtypes in liver cancerBack to article page