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Supervised redundant feature detection for tumor classification
BACKGROUND: As a high dimensional problem, analysis of microarray data sets is a challenging task, where many weakly relevant or redundant features affect overall performance of classifiers. METHODS: The previous works used redundant feature detection methods to select discriminative compact gene se...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4243100/ https://www.ncbi.nlm.nih.gov/pubmed/25350857 http://dx.doi.org/10.1186/1755-8794-7-S2-S5 |