Daily physiological processes are regulated by circadian oscillations of gene expression, and their disruption is associated with various diseases. Different circadian rhythms can be disrupted in terms of phase, amplitude, and rhythm fitness. However, there is currently no available workflow for systematically detecting multifaceted differential circadian characteristics with accurate false positive control.
Circadian oscillations of gene expression regulate daily physiological processes, and their disruption is linked to many diseases. Circadian rhythms can be disrupted in a variety of ways, including differential phase, amplitude and rhythm fitness. Although many differential circadian biomarker detection methods have been proposed, a workflow for systematic detection of multifaceted differential circadian characteristics with accurate false positive control is not currently available. We propose a comprehensive and interactive pipeline to capture the multifaceted characteristics of differentially rhythmic biomarkers. Analysis outputs are accompanied by informative visualization and interactive exploration. The workflow is demonstrated in multiple case studies and is extensible to general omics applications.
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