OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data

Principal component analysis (PCA) has been widely used in metabolomics. However, it is not always possible to detect phenotype-associated principal component (PC) scores. Previously, we proposed a smoothed PCA for samples acquired with a time course or rank order, but hypothesis testing to select s...

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Bibliographic Details

Published in:	Metabolites
Main Authors:	Hiroyuki Yamamoto, Yasumune Nakayama, Hiroshi Tsugawa
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Subjects:	principal component analysis smoothing statistical hypothesis testing metabolomics
Online Access:	https://www.mdpi.com/2218-1989/11/3/149