Author:
Alshamlan Hala,Badr Ghada,Alohali Yousef
Reference33 articles.
1. Abderrahim, A., Talbi, E., Khaled, M.: Hybridization of genetic and quantum algorithm for gene selection and classification of microarray data. In: Parallel Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on. pp. 1–8 (2009)
2. Alba, E., Garcia-Nieto, J., Jourdan, L., Talbi, E.: Gene selection in cancer classification using pso/svm and ga/svm hybrid algorithms. In: Evolutionary Computation, 2007. CEC 2007. IEEE Congress on. pp. 284–290 (2007)
3. Chen, Y., Zhao, Y.: A novel ensemble of classifiers for microarray data classification. Applied Soft Computing 8(4), 1664–1669 (2008)
4. Chuang, L.Y., Yang, C.H., Wu, K.C., Yang, C.H.: A hybrid feature selection method for dna microarray data. Computers in Biology and Medicine 41(4), 228–237 (2011)
5. El Akadi, A., Amine, A., El Ouardighi, A., Aboutajdine, D.: A new gene selection approach based on minimum redundancy-maximum relevance (mrmr) and genetic algorithm (ga). In: Computer Systems and Applications, 2009. AICCSA 2009. IEEE/ACS International Conference on. pp. 69{75 (2009)
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