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Fuzzy Logic for Elimination of Redundant Information of Microarray Data
Gene subset selection is essential for classification and analysis of microarray data. However, gene selection is known to be a very difficult task since gene expression data not only have high dimensionalities, but also contain redundant information and noises. To cope with these difficulties, this...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054105/ https://www.ncbi.nlm.nih.gov/pubmed/18973862 http://dx.doi.org/10.1016/S1672-0229(08)60021-2 |