Indian Journal of Science and Technology
Year: 2011, Volume: 4, Issue: 5, Pages: 520-524
Mohd. Faheem Khan1, 2 , Gaurav Chauhan2 and A. K. Jaitly1*
1 Department of Plant Sciences, MJP Rohilkhand University Bareilly (U.P) India.
2 Bioinformatics Centre, IVRI, Izatnagar, Bareilly-243122 (U.P) India.
In biology, Support Vector Machines (SVM) is most frequently used tool for the analysis of gene expression, microarray experiments and other biological applications. In human genome dataset, only a small proportion of the DNA sequences represent genes, and the rest do not. In our work, we highlighted the reasons why, particular SVM, fails and what can be done to overcome this.
Keywords: Imbalanced dataset, BioSVM
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