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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...

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Detalhes bibliográficos
Main Authors: Palermo, Giuseppe, Piraino, Paolo, Zucht, Hans-Dieter
Formato: Artigo
Idioma:Inglês
Publicado em: Dove Medical Press 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3169946/
https://ncbi.nlm.nih.gov/pubmed/21918616
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