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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...
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| Publicado no: | Genomics Proteomics Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5054105/ https://ncbi.nlm.nih.gov/pubmed/18973862 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S1672-0229(08)60021-2 |
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