Patient-specific analysis of co-expression to measure biological network rewiring in individuals.

ABSTRACT: To effectively understand the underlying mechanisms of disease and inform the development of personalized therapies, it is critical to harness the power of differential co-expression (DCE) network analysis. Despite the promise of DCE network analysis in precision medicine, current approaches have a major limitation: they measure an average differential network across multiple samples, which means the specific etiology of individual patients is often overlooked. To address this, we present Cosinet, a DCE-based single-sample network rewiring degree quantification tool. By analyzing two breast cancer datasets, we demonstrate that Cosinet can identify important differences in gene co-expression patterns between individual patients and generate scores for each individual that are significantly

SUBMITTER: Wei L 

PROVIDER: S-EPMC10656351 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature