Analyzing multiple phenotypes based on principal component analysis

DOI10.1007/s10255-022-1019-2zbMath1497.62276OpenAlexW4306850923WikidataQ115236183 ScholiaQ115236183MaRDI QIDQ2087662

De-liang Bu, Sanguo Zhang, Na Li

Publication date: 21 October 2022

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-022-1019-2

zbMATH Keywords

principal component analysismultiple phenotypesCauchy combination method

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• TATES

Cites Work

• A theoretic study of a distance-based regression model
• Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures
• A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies
• Approximate and Asymptotic Distributions of Chi-Squared–Type Mixtures With Applications
• Unnamed Item

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