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Gene selection and classification of microarray data using random forest
BACKGROUND: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of genes that can still achieve good predictive performance (for instance, for future use with diagnostic purposes in clinic...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1363357/ https://www.ncbi.nlm.nih.gov/pubmed/16398926 http://dx.doi.org/10.1186/1471-2105-7-3 |