Linear-mixed effects models for feature selection in high-dimensional NMR spectra

Yajun Mei; Seoung Bum Kim; Kwok‐Leung Tsui

doi:10.1016/j.eswa.2008.06.032

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Linear-mixed effects models for feature selection in high-dimensional NMR spectra

Yajun Mei Seoung Bum Kim Kwok‐Leung Tsui

Year: 2008 Journal: Expert Systems with Applications Vol: 36 (3)Pages: 4703-4708 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2008.06.032

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Keywords:

Feature selection Feature (linguistics) Computer science Metabolomics Selection (genetic algorithm) False discovery rate Linear model Artificial intelligence Pattern recognition (psychology) Metabolite Model selection Biological system Data mining Machine learning Chemistry Chromatography Biology

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Metabolomics and Mass Spectrometry Studies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Analytical Chemistry and Chromatography

Physical Sciences → Chemistry → Spectroscopy

Linear-mixed effects models for feature selection in high-dimensional NMR spectra

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