An Efficient Uniform Gene Selection for Micro Array Data via Hybrid Weighting
نویسنده
چکیده
AN EFFICIENT UNIFORM GENE SELECTION FOR MICRO ARRAY DATA VIA HYBRID WEIGHTING 1 G. Baskar, 2 Dr.P.Ponmuthuramalingam 1 PhD Research Scholar, 2 Associate Professor & Head Department of Computer Science Government Arts College (Autonomous) Coimbatore, Tamil Nadu, INDIA _____________________________________________________________ Abstract:Feature Selection is a common standard method used for gene expression micro array data, and an important phase in calculating a selection method is the stability of the certain gene below same data set with different samples. The high performance applications of machine learning algorithms have been enhanced by recent developments. In this paper, a solution which is based on (SVM-RFE) support vector machines recursive feature elimination and the versions of SVM-RFE is proposed under ensemble, sample weighting and hybrid weighting for micro array data set. A new framework is introduced, and we developed the framework for improving the stability of feature selection algorithm and compare its efficiency and effectiveness with representative method.
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