Chemometrics models for overcoming high between subject variability: applications in clinical metabolic profiling studies

标题
Chemometrics models for overcoming high between subject variability: applications in clinical metabolic profiling studies
作者
关键词
Metabolic profiling, Between-subject variability, Multilevel simultaneous component analysis, Multilevel partial least squares for discriminant analysis, ANOVA PCA, ANOVA simultaneous component analysis, ANOVA mean-centre, Breath analysis
出版物
Metabolomics
Volume 10, Issue 3, Pages 375-385
出版商
Springer Nature
发表日期
2013-12-11
DOI
10.1007/s11306-013-0616-8

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