Ontology highlight
ABSTRACT:
SUBMITTER: Zeng Y
PROVIDER: S-EPMC5026200 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Zeng Yaohui Y Breheny Patrick P
Cancer informatics 20160915
Discovering important genes that account for the phenotype of interest has long been a challenge in genome-wide expression analysis. Analyses such as gene set enrichment analysis (GSEA) that incorporate pathway information have become widespread in hypothesis testing, but pathway-based approaches have been largely absent from regression methods due to the challenges of dealing with overlapping pathways and the resulting lack of available software. The R package grpreg is widely used to fit group ...[more]