Article
NEArender: an R package for functional interpretation of 'omics' data via network enrichment analysis.
BMC bioinformatics - 23 Mar 2017
Jeggari Ashwini, Alexeyenko Andrey
Abstract excerpt
BACKGROUND: The statistical evaluation of pathway enrichment, i.e. of gene profiles' confluence to the pathway level, allows exploring molecular landscapes using functionally annotated gene sets. However, pathway scores can also be used as predictive features in machine learning. That requires, firstly, increasing statistical power and biological relevance via a network enrichment analysis (NEA) and, secondly, a...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
