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SlimPLS: A Method for Feature Selection in Gene Expression-Based Disease Classification
A major challenge in biomedical studies in recent years has been the classification of gene expression profiles into categories, such as cases and controls. This is done by first training a classifier by using a labeled training set containing labeled samples from the two populations, and then using...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2715895/ https://www.ncbi.nlm.nih.gov/pubmed/19649265 http://dx.doi.org/10.1371/journal.pone.0006416 |