Analyzing multiple phenotypes based on principal component analysis
type: Item
instance of: scholarly article
title: Analyzing multiple phenotypes based on principal component analysis
zbMATH Open document ID: 1497.62276
author: De-liang Bu
author: Sanguo Zhang
author: Na Li
published in: Acta Mathematicae Applicatae Sinica. English Series
publication date: 2022-10-21T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62H25
zbMATH DE Number: 7604872
zbMATH Keywords: multiple phenotypes
zbMATH Keywords: principal component analysis
zbMATH Keywords: Cauchy combination method
Wikidata QID: Q115236183
describes a project that uses: TATES
MaRDI profile type: Publication
full work available at URL: s10255-022-1019-2
OpenAlex ID: W4306850923
cites work: A theoretic study of a distance-based regression model
cites work: Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures
cites work: A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies
cites work: Q2993354
cites work: Approximate and Asymptotic Distributions of Chi-Squared–Type Mixtures With Applications
DOI: 10.1007/S10255-022-1019-2
description: scientific article; zbMATH DE number 7604872