Ontology highlight
ABSTRACT: Background
Existing module-based differential co-expression methods identify differences in gene-gene relationships across phenotype or exposure structures by testing for consistent changes in transcription abundance. Current methods only allow for assessment of co-expression variation across a singular, binary or categorical exposure or phenotype, limiting the information that can be obtained from these analyses.Methods
Here, we propose a novel approach for detection of differential co-expression that simultaneously accommodates multiple phenotypes or exposures with binary, ordinal, or continuous data types.Results
We report an application to two cohorts of asthmatic patients with varying levels of asthma control to identify associations between gene co-expression
SUBMITTER: Queen K
PROVIDER: S-EPMC10235619 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature