Improved quality metrics for association and reproducibility in chromatin accessibility data using mutual information

Abstract Background Correlation metrics are widely utilized in genomics analysis and often implemented with little regard to assumptions of normality, homoscedasticity, and independence of values. This is especially true when comparing values between replicated sequencing experiments that probe chro...

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Bibliografische gegevens

Hoofdauteurs:	Cullen Roth, Vrinda Venu, Vanessa Job, Nicholas Lubbers, Karissa Y. Sanbonmatsu, Christina R. Steadman, Shawn R. Starkenburg
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	BMC 2023-11-01
Reeks:	BMC Bioinformatics
Onderwerpen:	ATAC-seq Correlation and association Normalized mutual information Random forest
Online toegang:	https://doi.org/10.1186/s12859-023-05553-0
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