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bioRxiv · 10.1101/2024.05.09.593377

Quantifying Differential Rhythmicity based on Effect Sizes with LimoRhyde2

Obodo, D.·Asiaee, A.
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Abstract

Current methods for assessing differential rhythmicity in genomic data focus on hypothesis testing and model selection, often assuming sinusoidal rhythms. A more appropriate approach is to estimate differences in rhythmic properties between two or more conditions using effect sizes. To address this gap, we extend LimoRhyde2, a method for quantifying rhythm-related effect sizes and their uncertainty in genome-scale data, to enable differential rhythmicity analyses. Through extensive testing, we validate the method for differential rhythmicity analysis and showcase how it improves biological interpretation for circadian systems biology.

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Obodo, D., Asiaee, A.. 2024-05-20. Quantifying Differential Rhythmicity based on Effect Sizes with LimoRhyde2. https://doi.org/10.1101/2024.05.09.593377

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