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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| 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 |