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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2011
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| Materias: | |
| 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 |