The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling.

ABSTRACT: Pathway-centric approaches are widely used to interpret and contextualize -omics data. However, databases contain different representations of the same biological pathway, which may lead to different results of statistical enrichment analysis and predictive models in the context of precision medicine. We have performed an in-depth benchmarking of the impact of pathway database choice on statistical enrichment analysis and predictive modeling. We analyzed five cancer datasets using three major pathway databases and developed an approach to merge several databases into a single integrative one: MPath. Our results show that equivalent pathways from different databases yield disparate results in statistical enrichment analysis. Moreover, we observed a significant dataset-dependent impact on th

SUBMITTER: Mubeen S 

PROVIDER: S-EPMC6883970 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature