Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies

Partial Least Squares-Discriminant Analysis (PLS-DA) is a PLS regression method with a special binary ‘dummy’ y-variable and it is commonly used for classification purposes and biomarker selection in metabolomics studies. Several statistical approaches are currently in use to validate outcomes of PL...

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Detalles Bibliográficos
Autores principales: Szymańska, Ewa, Saccenti, Edoardo, Smilde, Age K., Westerhuis, Johan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2011
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3337399/
https://www.ncbi.nlm.nih.gov/pubmed/22593721
http://dx.doi.org/10.1007/s11306-011-0330-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3337399/
https://www.ncbi.nlm.nih.gov/pubmed/22593721
http://dx.doi.org/10.1007/s11306-011-0330-3

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