However, differential expression methods study each gene independent of any other and therefore may not capture transcriptional differences due to changes in gene-gene relationships. Results suggest that both expression levels and covariances of ADORA3, ALOX15, and IDO1 are associated with asthma control.Ĭonclusion: ACDC is a flexible extension to existing methodology that can detect differential co-expression across varying external variables.ĭifferential expression analysis has long been used to test for differences in transcriptional dependencies across conditions, and may explain phenotypic variation in a population. Results: We report an application to two cohorts of asthmatic patients with varying levels of asthma control to identify associations between gene co-expression and asthma control test scores. 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. 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.
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