Uday K. Kamath, Ph.D.

Affiliations: 
2014 Information Technology George Mason University, Washington, DC 
Area:
Computer Science, Bioinformatics Biology, Information Science
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"Uday Kamath"

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Kenneth De Jong grad student 2014 George Mason
 (An evolutionary machine learning framework for big data sequence mining.)
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Publications

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Veltri D, Kamath U, Shehu A. (2018) Deep Learning Improves Antimicrobial Peptide Recognition. Bioinformatics (Oxford, England)
Veltri D, Kamath U, Shehu A. (2017) Improving Recognition of Antimicrobial Peptides and Target Selectivity through Machine Learning and Genetic Programming. Ieee/Acm Transactions On Computational Biology and Bioinformatics. 14: 300-313
Kamath U, Domeniconi C, De Jong K. (2016) Theoretical and Empirical Analysis of a Spatial EA Parallel Boosting Algorithm. Evolutionary Computation
Kamath U, De Jong K, Shehu A. (2014) Effective automated feature construction and selection for classification of biological sequences. Plos One. 9: e99982
Kamath U, Compton J, Islamaj-Doğan R, et al. (2012) An evolutionary algorithm approach for feature generation from sequence data and its application to DNA splice site prediction. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 9: 1387-98
Kamath U, Shehu A, De Jong KA. (2011) A two-stage evolutionary approach for effective classification of hypersensitive DNA sequences. Journal of Bioinformatics and Computational Biology. 9: 399-413
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