Enhancing reproducibility of gene expression analysis with known protein functional relationships: The concept of well-associated protein.

ABSTRACT: Identification of differentially expressed genes (DEGs) is well recognized to be variable across independent replications of genome-wide transcriptional studies. These are often employed to characterize disease state early in the process of discovery and prioritize novel targets aimed at addressing unmet medical need. Increasing reproducibility of biological findings from these studies could potentially positively impact the success rate of new clinical interventions. This work demonstrates that statistically sound combination of gene expression data with prior knowledge about biology in the form of large protein interaction networks can yield quantitatively more reproducible observations from studies characterizing human disease. The novel concept of Well-Associated Proteins (WAPs) introd

SUBMITTER: Pradines JR 

PROVIDER: S-EPMC7046299 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature