Biologically anchored knowledge expansion approach uncovers KLF4 as a novel insulin signaling regulator.

ABSTRACT: One of the biggest challenges in analyzing high throughput omics data in biological studies is extracting information that is relevant to specific biological mechanisms of interest while simultaneously restricting the number of false positive findings. Due to random chances with numerous candidate targets and mechanisms, computational approaches often yield a large number of false positives that cannot easily be discerned from relevant biological findings without costly, and often infeasible, biological experiments. We here introduce and apply an integrative bioinformatics approach, Biologically Anchored Knowledge Expansion (BAKE), which uses sequential statistical analysis and literature mining to identify highly relevant network genes and effectively removes false positive findings. Appl

SUBMITTER: Muthiah A 

PROVIDER: S-EPMC6150497 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature