Using a supervised principal components analysis for variable selection in high-dimensional datasets reduces false discovery rates

Insha Ullah*, Kerrie Mengersen, Anthony Pettitt, Benoit Liquet

*Corresponding author for this work

Research output: Contribution to journalArticle

Original languageEnglish
JournalbioRxiv
DOIs
Publication statusSubmitted - 15 May 2020
Externally publishedYes

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