Dimensionality reduction for metabolome data using PCA, PLS, OPLS, and RFDA with differential penalties to latent variables

Chemometrics and Intelligent Laboratory Systems

Volumn 98, Issue 2, 2009, Pages 136-142

  Yamamoto, Hiroyuki ^a   Yamaji, Hideki ^a   Abe, Yuichiro ^a   Harada, Kazuo ^b   Waluyo, Danang ^b   Fukusaki, Eiichiro ^b   Kondo, Akihiko ^a   Ohno, Hiromu ^a   Fukuda, Hideki ^a  

^a KOBE UNIVERSITY   (Japan)

^b OSAKA UNIVERSITY   (Japan)

Author keywords

Dimensionality reduction; Fisher discriminant analysis; Kernel method; Metabolomics; Partial least squares; Principal component analysis; Smoothing

Indexed keywords

ALCOHOL; XYLOSE;

ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; FERMENTATION; FUNGAL METABOLISM; FUNGAL STRAIN; INTERMETHOD COMPARISON; KERNEL METHOD; METABOLOME; METABOLOMICS; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROCESS DEVELOPMENT; SACCHAROMYCES CEREVISIAE; YEAST;

EID: 69349089454     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2009.05.006     Document Type: Article

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