NetGen: a novel network-based probabilistic generative model for gene set functional enrichment analysis.

ABSTRACT:

Background

High-throughput experimental techniques have been dramatically improved and widely applied in the past decades. However, biological interpretation of the high-throughput experimental results, such as differential expression gene sets derived from microarray or RNA-seq experiments, is still a challenging task. Gene Ontology (GO) is commonly used in the functional enrichment studies. The GO terms identified via current functional enrichment analysis tools often contain direct parent or descendant terms in the GO hierarchical structure. Highly redundant terms make users difficult to analyze the underlying biological processes.

Results

In this paper, a novel network-based probabilistic generative model, NetGen, was proposed to perform the functional enrichment analysi

SUBMITTER: Sun D 

PROVIDER: S-EPMC5615262 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature