Article ID Journal Published Year Pages File Type
7563481 Chemometrics and Intelligent Laboratory Systems 2012 11 Pages PDF
Abstract
► A non-negative PCA (NPCA) algorithm was introduced for metabolomic data analysis. ► A supervised NPCA (sNPCA) method was developed for class discrimination analysis. ► A new criterion was proposed for determination of optimal number of components.
Keywords
Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
Preview
Non-negative principal component analysis for NMR-based metabolomic data analysis
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