Multiple testing in genome-wide association studies via hierarchical hidden Markov models

Author:

Wang PengfeiORCID,Tian Zhaofeng

Funder

National Natural Science Foundation of China

Department of Education of Liaoning Province

Publisher

Elsevier BV

Reference30 articles.

1. A maximization technique occurring in the statistical analysis of probabilistic functions of Markov chains;Baum;Ann. Math. Stat.,1970

2. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J. R. Statist. Soc. Ser. B Statist. Methodol.,1995

3. On the adaptive control of the false discovery rate in multiple testing with independent statistics;Benjamini;J. Educ. Behav. Stat.,2000

4. Covariate-adjusted multiple testing in genome-wide association studies via factorial hidden Markov models;Cui;Test,2021

5. Two-group Poisson-Dirichlet mixtures for multiple testing;Denti;Biometrics,2021

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