Partial Least Squares with Structured Output for Modelling the Metabolomics Data Obtained from Complex Experimental Designs: A Study into the Y-Block Coding

Partial least squares (PLS) is one of the most commonly used supervised modelling approaches for analysing multivariate metabolomics data. PLS is typically employed as either a regression model (PLS-R) or a classification model (PLS-DA). However, in metabolomics studies it is common to investigate m...

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Detalles Bibliográficos
Autores principales: Xu, Yun, Muhamadali, Howbeer, Sayqal, Ali, Dixon, Neil, Goodacre, Royston
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192444/
https://www.ncbi.nlm.nih.gov/pubmed/27801817
http://dx.doi.org/10.3390/metabo6040038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192444/
https://www.ncbi.nlm.nih.gov/pubmed/27801817
http://dx.doi.org/10.3390/metabo6040038

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