Covariate-adjusted multiple testing in genome-wide association studies via factorial hidden Markov models

DOI10.1007/s11749-020-00746-8zbMath1474.62383OpenAlexW3120390348MaRDI QIDQ2666069

Wensheng Zhu, Tingting Cui, Peng-fei Wang

Publication date: 22 November 2021

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-020-00746-8

zbMATH Keywords

false discovery rateGWAScovariate adjustmentmultiple hypotheses testingfactorial hidden Markov model

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20) Markov processes: hypothesis testing (62M02)

Related Items (1)

Covariate-modulated large-scale multiple testing under dependence

Uses Software

• AdaPT
• adaptMT

Cites Work

• Unnamed Item
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