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Title: Búsqueda de genes involucrados en el grado histológico de tumores de mama
Author: Garrido Romero, Sandra
Director: Casas-Roma, Jordi  
Tutor: Nieto Librero, Ana Belén
Keywords: data science
breast cancer
Issue Date: Jun-2021
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: In recent years, the lines of research have followed a trend towards obtaining personalized therapies for the treatment of each patient with a genetic analysis. The purpose of this work is to analyse a set of genetic data classified by histological grade. Public databases containing the genetic information of various women who have suffered from breast cancer will be used in this work. The methodology used consists of training various models of different classification algorithms in order to obtain the genes involved in the growth of breast tumour. The main objective is to select the model with the best results. This can offer a totally personalized treatment to each patient according to their genetics. Furthermore, if I ii can achieve the genes involved in tumour development, breast tumours could be predicted in descendants of people who have already developed it, before the cancer appears, simply by the presence of the genes responsible for cancer obtained in the algorithms studied.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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