GLMMcosinor: Flexible Cosinor Modeling to Characterize Rhythmic Time Series Using a Generalized Linear Mixed Modeling Framework

Abstract excerpt

<h4>Background</h4> Modeling rhythmic biological processes, such as gene expression and sleep-wake cycles, is critical for understanding physiological mechanisms and their dysregulation in disease. Traditional cosinor analysis, commonly used to model rhythmic data, assumes Gaussian-distributed residuals and does not account for hierarchical data, limiting its applicability in modern biological datasets. <h4>Resul...

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• Adipose Tissue and Metabolism
• Circadian rhythm and melatonin
• Genetic Mapping and Diversity in Plants and Animals

Identifiers and source

Literature Corpus work

b85f937a-17c0-5cd3-b23e-44da2e765824

DOI

10.1101/2024.04.10.588934