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Stable biomarker screening and classification by subsampling-based sparse regularization coupled with support vector machines in metabolomics
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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.

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