Power Calculation of Multi-step Combined Principal Components with Applications to Genetic Association Studies.

doi:10.1038/srep26243

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Article

Power Calculation of Multi-step Combined Principal Components with Applications to Genetic Association Studies.

Scientific reports - 18 May 2016

Li Zhengbang, Zhang Wei, Pan Dongdong, Li Qizhai

Abstract excerpt

Principal component analysis (PCA) is a useful tool to identify important linear combination of correlated variables in multivariate analysis and has been applied to detect association between genetic variants and human complex diseases of interest. How to choose adequate number of principal components (PCs) to represent the original system in an optimal way is a key issue for PCA. Note that the traditional PCA,...

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PMID: 27189724
DOI: 10.1038/srep26243
PMCID: PMC4870571

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TRAF1

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.