Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection

DOI10.1080/01621459.2020.1738234zbMath1457.62227arXiv1812.08147OpenAlexW3009039664MaRDI QIDQ5857123

Kevin Lin, Han Liu, Kathryn Roeder

Publication date: 30 March 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.08147

zbMATH Keywords

microarraybootstrap covariance testmultiple testing with dependence

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)

Related Items (1)

Nearly optimal central limit theorem and bootstrap approximations in high dimensions

Uses Software

• HDtest

Cites Work

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• Global spectral clustering in dynamic networks
• Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering
• Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing

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