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Gene selection algorithm by combining reliefF and mRMR
BACKGROUND: Gene expression data usually contains a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best discriminate biological samples of different types. In this paper, we present a two-stage selection algorithm...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2008
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2559892/ https://ncbi.nlm.nih.gov/pubmed/18831793 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-9-S2-S27 |
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