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Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
BACKGROUND: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be used as class predictors. The leukemia dataset of Golub et al. [1] and the NCI60 dataset of Ross et al. [2] present multicl...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1181625/ https://www.ncbi.nlm.nih.gov/pubmed/15958165 http://dx.doi.org/10.1186/1471-2105-6-148 |