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Robust Feature Selection from Microarray Data Based on Cooperative Game Theory and Qualitative Mutual Information
High dimensionality of microarray data sets may lead to low efficiency and overfitting. In this paper, a multiphase cooperative game theoretic feature selection approach is proposed for microarray data classification. In the first phase, due to high dimension of microarray data sets, the features ar...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4818815/ https://www.ncbi.nlm.nih.gov/pubmed/27127506 http://dx.doi.org/10.1155/2016/1058305 |