MINING SIGNIFICANT GENE BICLUSTERS FROM DNA MICROARRAY

RAUT S.A.¹*, SATHE S.R.^2
1Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur- 440 001, MS, India.
²Department of Computer Science & Engineering, Visvesvaraya National Institute of Technology, Nagpur- 440 001, MS, India.
* Corresponding Author : rautsa@gmail.com

Received : 26-11-2013     Accepted : 26-12-2013     Published : 31-12-2013
Volume : 5     Issue : 1       Pages : 289 - 293
Int J Bioinformatics Res 5.1 (2013):289-293
DOI : http://dx.doi.org/10.9735/0975-3087.5.1.289-293

Keywords : Biclusters, DNA Microarrays, Gene Expression Matrix
Conflict of Interest : None declared
Acknowledgements/Funding : We are thankful to Cheng & Church, Publicly available dataset on Yeast Cell Cycle. We generate our observations based on this datasets. We are thankful for all who contribute for the same topic and because of them large literature is available for the top

Significant gene biclusters are important in medical science in many ways. They can be used in drug discovery, identification of severe diseases, finding the gene pathways and many more. We are using two algorithms to find the final significant biclusters from the DNA microarrays. In first algorithm, transform discrete values are used while in second algorithm, actual numerical values are used as an input. The results are tested on both synthetic as well as on real database. The output for the real database i.e. Yeast Cell Cycle is discussed at the end.

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