A comprehensive survey of the approaches for pathway analysis using multi-omics data integration.

ABSTRACT: Pathway analysis has been widely used to detect pathways and functions associated with complex disease phenotypes. The proliferation of this approach is due to better interpretability of its results and its higher statistical power compared with the gene-level statistics. A plethora of pathway analysis methods that utilize multi-omics setup, rather than just transcriptomics or proteomics, have recently been developed to discover novel pathways and biomarkers. Since multi-omics gives multiple views into the same problem, different approaches are employed in aggregating these views into a comprehensive biological context. As a result, a variety of novel hypotheses regarding disease ideation and treatment targets can be formulated. In this article, we review 32 such pathway analysis methods d

SUBMITTER: Maghsoudi Z 

PROVIDER: S-EPMC9677478 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature