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Microarray Data Classification Using Support Vector Machine
Seeja K.R., Shweta
Pages - 10 - 15     |    Revised - 31-03-2011     |    Published - 04-04-2011
Volume - 5   Issue - 1    |    Publication Date - March / April 2011   Table of Contents
Support Vector Machines, Microarray, Classification
DNA microarrays allow biologist to measure the expression of thousands of genes simultaneously on a small chip. These microarrays generate huge amount of data and new methods are needed to analyse them. In this paper, a new classification method based on support vector machine is proposed. The proposed method is used to classify gene expression data recorded on DNA microarrays. It is found that the proposed method is faster than neural network and the classification performance is not less than neural network.
CITED BY (13)  
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2 Almoeirfi, M. (2015). Classification Approaches for Microarray Gene Expression Data Analysis (Doctoral dissertation, Laurentian University Sudbury).
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Dr. Seeja K.R.
Jamia Hamdard University, New Delhi - India
Miss Shweta
- India

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