Variable selection for binary classification using error rate p-values applied to metabolomics data

BACKGROUND: Metabolomics datasets are often high-dimensional though only a limited number of variables are expected to be informative given a specific research question. The important task of selecting informative variables can therefore become complex. In this paper we look at discriminating betwee...

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Detalles Bibliográficos
Autores principales: van Reenen, Mari, Reinecke, Carolus J., Westerhuis, Johan A., Venter, J. Hendrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712617/
https://www.ncbi.nlm.nih.gov/pubmed/26763892
http://dx.doi.org/10.1186/s12859-015-0867-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712617/
https://www.ncbi.nlm.nih.gov/pubmed/26763892
http://dx.doi.org/10.1186/s12859-015-0867-7

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