• DOI:10.1007/s11306-015-0823-6
Corpus ID: 15712363

Computational and statistical analysis of metabolomics data

@article{Ren2015ComputationalAS,
  title={Computational and statistical analysis of metabolomics data},
  author={Sheng Ren and Anna A. Hinzman and E. Kang and R. Szczesniak and L. J. Lu},
  journal={Metabolomics},
  year={2015},
  volume={11},
  pages={1492-1513}
}

Sheng Ren, Anna A. Hinzman, +2 authors L. J. Lu

Published 2015

Computer Science

Metabolomics

Metabolomics is the comprehensive study of small molecule metabolites in biological systems. [...] Key Method These are unsupervised learning methods, supervised learning methods, pathway analysis methods and analysis of time course metabolomics data. We conclude by providing a table summarizing the principles and tools that we discussed in this review.Expand Abstract

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