International Journal of Scientific and Research Publications

IJSRP, Volume 4, Issue 11, November 2014 Edition [ISSN 2250-3153]


Classification of Micro Array Gene Expression using k-NN, SVM and Naive Classifiers
      Selva Mary. G, Likhesh N. Kolhe, Kanchan D. Patil
Abstract: Classification analysis of microarray gene expression data has been performed widely to find out the biological features and to differentiate intimately related cell types that usually appear in the diagnosis of cancer. Many algorithms and techniques have been developed for the microarray gene classification process. These developed techniques accomplish microarray gene classification process with the aid of three basic phases namely, dimensionality reduction, feature selection and gene classification. In our previous work, microarray gene classification by statistical analysis approach with Fuzzy Inference System (FIS) was proposed for precise classification of genes to their corresponding gene types.

Reference this Research Paper (copy & paste below code):

Selva Mary. G, Likhesh N. Kolhe, Kanchan D. Patil (2018); Classification of Micro Array Gene Expression using k-NN, SVM and Naive Classifiers; Int J Sci Res Publ 4(11) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-1114.php?rp=P353315
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