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PLS-DA
Partial least squares discriminant analysis (PLS-DA) (2017)
  • Bennie Liu
Description
Partial least squares discriminant analysis (PLS-DA) is one of the most widely used classification techniques in chemo metrics. This approach has also been extensively used in “omics” related fields, such as metabolomics, proteomics, and genomics and in many other fields, which generates large amount of data such as spectroscopy, as described elsewhere. The increasing interest in PLS-DA method, especially in the field of metabolomics, is mainly due to its availability in most of the common statistical software packages.
Keywords
  • Partial least squares discriminant analysis,
  • PLS-DA,
  • creative proteomics
Disciplines
Publication Date
Summer October 18, 2017
Citation Information
Bennie Liu. "PLS-DA" Partial least squares discriminant analysis (PLS-DA) (2017)
Available at: http://works.bepress.com/Bioarray/10/