Fig. 2
From: Multi-omics cluster defines the subtypes of CRC with distinct prognosis and tumor microenvironment
Molecular subtypes clustering based on TCGA-CRC multi-omics data. A Prediction of optimal cluster number of multi-omics data by cluster prediction index and Gap-statistics. B Consensus heatmap for two cluster subtypes based on multi-omics data. C The Silhouette value quantify sample similarity based on two cluster subtypes. D Clustering of CRC patients via 10 leading-edge clustering methods. E Visualization of multi-omics data for mRNA, lncRNA, miRNA, DNA CpG methylation sites and mutant genes. F Differential overall survival outcome in two subtypes. G Differential disease-free survival in two subtypes, log-rank test