Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/59950
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 PHP SNP automatic learning data mining MySQL R programming language bioinformatics biostatistics |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 26-Dec-2016 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ ![]() |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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jpulidolTFM1216memòria.pdf | Memoria del TFM | 5,44 MB | Adobe PDF | ![]() View/Open |
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