Assessment of PLSDA cross validation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-03

AUTHORS

Johan A. Westerhuis, Huub C. J. Hoefsloot, Suzanne Smit, Daniel J. Vis, Age K. Smilde, Ewoud J. J. van Velzen, John P. M. van Duijnhoven, Ferdi A. van Dorsten

ABSTRACT

Classifying groups of individuals based on their metabolic profile is one of the main topics in metabolomics research. Due to the low number of individuals compared to the large number of variables, this is not an easy task. PLSDA is one of the data analysis methods used for the classification. Unfortunately this method eagerly overfits the data and rigorous validation is necessary. The validation however is far from straightforward. Is this paper we will discuss a strategy based on cross model validation and permutation testing to validate the classification models. It is also shown that too optimistic results are obtained when the validation is not done properly. Furthermore, we advocate against the use of PLSDA score plots for inference of class differences. More... »

PAGES

81-89

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11306-007-0099-6

DOI

http://dx.doi.org/10.1007/s11306-007-0099-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022973183


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