Representation and quantification of module activity from omics data with rROMA.

ABSTRACT: The efficiency of analyzing high-throughput data in systems biology has been demonstrated in numerous studies, where molecular data, such as transcriptomics and proteomics, offers great opportunities for understanding the complexity of biological processes. One important aspect of data analysis in systems biology is the shift from a reductionist approach that focuses on individual components to a more integrative perspective that considers the system as a whole, where the emphasis shifted from differential expression of individual genes to determining the activity of gene sets. Here, we present the rROMA software package for fast and accurate computation of the activity of gene sets with coordinated expression. The rROMA package incorporates significant improvements in the calculation algo

SUBMITTER: Najm M 

PROVIDER: S-EPMC10799004 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature