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Performance of PLS regression coefficients in selecting variables for each response of a multivariate PLS for omics-type data
Multivariate partial least square (PLS) regression allows the modeling of complex biological events, by considering different factors at the same time. It is unaffected by data collinearity, representing a valuable method for modeling high-dimensional biological data (as derived from genomics, prote...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Dove Medical Press
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3169946/ https://www.ncbi.nlm.nih.gov/pubmed/21918616 |