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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...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer US
2011
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3337399/ https://ncbi.nlm.nih.gov/pubmed/22593721 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11306-011-0330-3 |
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