Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/97847
Title: Predictor de mutaciones patológicas para una familia de proteínas
Author: Salinero Delgado, Matías
Director: Andrio Balado, Pau
Keywords: machine learning
Python
proteins
mutation
Issue Date: Jun-2019
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The development of the current biological techniques, such as sequencing and alignment, has provided us with a huge amount of data. This has highlighted the need to organize them and carry out an exhaustive and automatic study. A study that would allow us to better understand the obtained data and, as a result, discover the relationships that were hidden among them. The emergence of Machine Learning techniques opens up new possibilities like the detection of pathological mutations, as well as provide biomedical information that enables the development of therapies. The objective of this Master's Thesis is to develop an application to explore the benefits and limitations of this type of algorithms. It will display graphically and in a documented way the results achieved through a complete execution of the data cycle that will go from its import to the final result, tracking the performance throughout the process.
Language: Spanish
URI: http://hdl.handle.net/10609/97847
Appears in Collections:Bachelor thesis, research projects, etc.

Share:
Export:
Files in This Item:
File Description SizeFormat 
msalinerodTFM0619memoria.pdfMemoria del TFM3.83 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons