A New Avenue for Classification and Prediction of Olive Cultivars Using Supervised and Unsupervised Algorithms

Various methods have been used to identify cultivares of olive trees; herein we used different bioinformatics algorithms to propose new tools to classify 10 cultivares of olive based on RAPD and ISSR genetic markers datasets generated from PCR reactions. Five RAPD markers (OPA0a21, OPD16a, OP01a1, O...

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Detalles Bibliográficos
Autores principales: Beiki, Amir H., Saboor, Saba, Ebrahimi, Mansour
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434224/
https://www.ncbi.nlm.nih.gov/pubmed/22957050
http://dx.doi.org/10.1371/journal.pone.0044164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3434224/
https://www.ncbi.nlm.nih.gov/pubmed/22957050
http://dx.doi.org/10.1371/journal.pone.0044164

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