Visualization of statistically processed LC-MS-based metabolomics data for identifying significant features in a multiple-group comparison-Reference-Cited by-同舟云学术

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Visualization of statistically processed LC-MS-based metabolomics data for identifying significant features in a multiple-group comparison

Published:2021-03 Issue: Volume:210 Page:104271
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Pan Yu-Yi,Chen Yuan-Chih,Chang William Chih-Wei,Ma Mi-Chia,Liao Pao-Chi

Funder

Taiwan Ministry of Science and Technology

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference33 articles.

1. Mass spectrometry-based metabolomics;Dettmer;Mass Spectrom. Rev.,2007

2. Multivariate analysis in metabolomics;Worley;Curr Metabolomics,2013

3. Interpretation of latent-variable regression models;Kvalheim;Chemometr. Intell. Lab. Syst.,1989

4. OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification;Bylesjö;J. Chemom.: A. J. Chem. Soc.,2006

5. Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets;Cloarec;Anal. Chem.,2005

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