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Title: Uso de algoritmos de aprendizaje automático aplicados a bases de datos genéticos (HapMap)
Author: Pulido Lozano, Jorge
Tutor: Marco-Galindo, Maria-Jesús  
Andrio, Pau  
Jiménez-García, Brian  
Others: Universitat Oberta de Catalunya
Abstract: In recent years, the volume of information about the human genome has been increasing exponentially, driving the biological databases¿ development and computer tools for their analysis. Due to the amount and complexity that the data carries, it was necessary to create techniques for automatic learning which allow obtaining new patterns and investigation´s lines. In the present work, an automatic learning algorithm has been applied to a database, built in MySQL, with all SNPs detected in the human genome from 11 ethnic groups. The code, written in R, allows a cluster analysis and a graphical representation base on the similarity of the SNPs as well as a statistical test to determine the classification training accuracy.
Keywords: HapMap
automatic learning
data mining
R programming language
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 26-Dec-2016
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