The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 89-324
Full Name: Carlos M. Travieso-González
Position: Professor
Age: ON
Sex: Male
Address: Campus Universitario de Tafira, sn, Ed. Telecomunicacion, pabellon B, despacho 111. E-35017. Las Palmas de Gran Canaria
Country: SPAIN
Tel: 0034928452864
Tel prefix: 0034
Fax: 0034928451243
E-mail address: ctravieso@dsc.ulpgc.es
Other E-mails: ctravieso@cetic.eu
Title of the Paper: Feature selection of RAPD haplotypes for identifying Peach Palm (Bactris gasipaes) landraces using SVM
Authors as they appear in the Paper: José Luis Vásquez, Javier Vásquez, Juan Carlos Briceño, Elena Castillo, Carlos M. Travieso
Email addresses of all the authors: jose.vasquez@ucr.ac.cr,javier.vasquez@ucr.ac.cr,juan.briceno@ucr.ac.cr,elena.castillo@ucr.ac.cr,ctravieso@dsc.ulpgc.es
Number of paper pages: 10
Abstract: This present work presents a robust system for the feature reduction, using Deoxyribonucleic Acid (DNA) primer. This system reaches up to 100% classes identification based on Support Vector Machines (SVM). In particular, the biochemical parameterization has 89 Random Amplified polymorphic DNA (RADP) primers of Pejibaye Palm races, and it has been reduced to 10 RADP primers. The development of this application provides economic and computational advantages. When it is reduced the number of primers, this application reduces the economic cost, being a process so much cheaper, up to 11.24% from the initial process. On the other hand, the use of our supervised classification system is faster in order to do a method of origin denomination plant certification, due to reduce the dataset up to 11.24%.
Keywords: Dimensionality Reduction, feature selection, DNA analysis, supervised classification, SVM, Artificial Neuronal Network, Cluster analysis
EXTENSION of the file: .pdf
Special (Invited) Session: Reducing the number of DNA primers for classifying Pejibaye Palm races using SVM
Organizer of the Session: 697-375
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