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Issue No:5 Vol.4 |
May -2011 |
ISSN: 0974-5645 |
| RESEARCH ARTICLES |
Viewers & PDF |
| 10. An approach to overcome imbalance datasets of eukaryotic genomes during the analysis by machine learning technique (SVM). Mohd. Faheem Khan, Gaurav Chauhan and A. K. Jaitly. Indian J.Sci.Technol. Vol.4, Issue 5, pp: 520-524. |
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- Abstract
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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