Computational and statistical analysis of metabolomics data
作者： Sheng Ren , Anna A. Hinzman , Emily L. Kang , Rhonda D. Szczesniak , Long Jason Lu
DOI: 10.1007/S11306-015-0823-6
关键词: Metabolomics data 、 Table (database) 、 Supervised learning 、 Pathway analysis 、 Unsupervised learning 、 Data mining 、 Metabolomics 、 Preprocessor 、 Data analysis 、 Computer science
摘要: Metabolomics is the comprehensive study of small molecule metabolites in biological systems. By assaying and analyzing thousands of metabolites in biological samples, it …
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