PROMO: Integrative analysis of multi-omic cancer data

Large genomic cancer datasets such as TCGA include thousands of samples, each measured by several high-throughput technologies and described by extensive clinical information. PROMO (Profiler of Multi-Omics data) is an interactive tool for analyzing and visualizing large multi-label multi-omic datasets for cancer subtype detection, biomarker discovery, identification of inter-omic feature correlation and survival analysis. PROMO also implements several methods for multi-omic clustering, including a variant of consensus clustering, by which several different omics can be used together to partition a set of samples into groups based on the consensus over multiple single-omic clustering operations. We review PROMO’s workflow for the analysis of cancer datasets with emphasis on recently implemented features for integrative multi-omic clustering.