刊名:Chemometrics and Intelligent Laboratory Systems
出版年:2017
出版时间:15 January 2017
年:2017
卷:160
期:Complete
页码:22-31
全文大小:499 K
卷排序:160
文摘
Sparse regularization with subsampling for stable biomarker screening. Sparse methods for key variable selection and uninformative variable elimination automatically in addressing metabolomics data. Support vector machine for classification in metabolomics. Much better prediction classification accuracy than PLS-DA.