Representation and quantification Of Module Activity from omics data with rROMA

Abstract

AbstractIn many analyses of high-throughput data in systems biology, calculating the activity of a set of genes rather than focusing on the differential expression of individual genes has proven to be efficient and informative. Here, we present the rROMA software package for fast and accurate computation of the activity of gene sets with coordinated expression. We applied rROMA to cystic fibrosis, highlighting biological mechanisms potentially involved in the establishment and progression of the disease and the associated genes. Source code and documentation are available athttps://github.com/sysbiocurie/rROMA.