Automatic recognition system for pejibaye palm DNA using SVM

Authors:
Carlos M. Travieso;Juan C. Briceno;Jose L. Vasquez;Javier Vasquez;Elena Castillo
Affiliations:
Department of Signals and Communications, University of Las Palmas de Gran Canaria, Las Palmas de G.C., Spain;Department of Computer Science, Ciudad Universitaria Rodrigo Facio, University of Costa Rica, Costa Rica;Sede del Atlántico, University of Costa Rica, Costa Rica;Department of Computer Science, Ciudad Universitaria Rodrigo Facio, University of Costa Rica, Costa Rica;Research Center on Molecular Biology, Ciudad Universitaria Rodrigo Facio, University of Costa Rica, Costa Rica
Venue:
ECC'08 Proceedings of the 2nd conference on European computing conference
Year:
2008

Citing 1
Cited 2

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Reducing the number of DNA primers for classifying pejibaye palm races using SVM

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Feature selection of RAPD haplotypes for identifying peach palm (Bactris gasipaes) landraces using SVM

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Abstract

This paper account for a correct DNA simplified sound, and inexpensive parameterization of pejibaye palm races, and a SVM automatic correct classifier obtaining 100% classes identification. The biochemical proposed parameterization, based on 89 RAPD primer markers applied on haplotypes of pejibaye races, has been proved correct by the classifier rate success. Previous result leads to a substantial description reduction over the DNA total chain description. Finally the interesting combination of this techniques (biochemical and computational), gives rise to a formulation of an inexpensive and handy method of origin denomination plant certification.