Coconut: covariate-assisted composite null hypothesis testing with applications to replicability analysis of high-throughput experimental data

Coconut: covariate-assisted composite null hypothesis testing with applications to replicability analysis of high-throughput experimental data

Abstract Background Multiple testing of composite null hypotheses is critical for identifying simultaneous signals across studies. While it is common to incorporate external information in simple null hypotheses, exploiting such auxiliary covariates to provide prior structural relationships among co...

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Bibliographic Details
Main Authors: Yan Li, Yanmei Li, Han Ma, Zitong Yue, Xin Zhang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Bioinformatics
Subjects:
Composite null hypothesis
Auxiliary information
Replicability
High-throughput experiments
Cauchy combination
Online Access:https://doi.org/10.1186/s12859-025-06163-8
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https://doi.org/10.1186/s12859-025-06163-8

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