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http://hdl.handle.net/10609/64245
Title: | Metodología para el análisis e identificación de genes relacionados con cáncer de mama utilizando Machine Learning y datos de secuenciación masiva |
Author: | Liñares Blanco, Jose |
Tutor: | Fernandez Lozano, Carlos Sanchez-Martinez, Melchor |
Others: | Universitat Oberta de Catalunya Marco-Galindo, Maria-Jesús |
Abstract: | This work includes a study on the analysis of the genetic expression profile (RNAseq) of a total of 721 patients who report some type of breast cancer. Two methods have been used. Firstly, through a standard protocol based on the Bioconductor project, a differential analysis was performed on the genetic expression of patients according to their group. Secondly, RNAseq database has been subjected to classification techniques based on Machine Learning. |
Keywords: | RNAseq breast cancer machine learning |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 24-May-2017 |
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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jlinaresbTFM0617memoria.pdf | Memoria del trabajo fin de máster | 2,64 MB | Adobe PDF | View/Open |
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