RT Generic
T1 Deep Neural Networks to find genetics signatures
T2 Estudio y búusqueda de marcadores genéticos mediante el uso de Deep Neural Networks
A1 Moreno Jabato, Fernando
K1 Bioinformática
K1 Redes neuronales
K1 Datos masivos
K1 Informática - Trabajos Fin de Grado
K1 Grado en Ingeniería de la Salud - Trabajos Fin de Grado
AB This document contais the final dissertation ot the degree student Fernando Moreno Jabato for the studies Grade in Health Engeneering, speciality on Bioinformatics, of University of Málaga. This dissertation have been performed with the supervisionof Dr. José Manuel Jerez Aragonés from the Departament of Lenguajes y Ciencias de la Comunicación.The project title is Deep Neural Networks to find genetics signatures andis focused on the development of a bioinformatic tool oriented to identification of relationships between an attribute set and concret factor of interest on medicine. To do this, a tool was designed with the capacity of handle data sets from microarrays of diferent types. Microarrays was selected as preferent technology because it's the most extended and accessible techonologie on health and biology fields nowadays.Once implemented the tool, an experiment was performed to evaluate the effciency of this tool. The experiment uses prostate cancer related datasets from trascriptomics microarrays containing patients of prostate cancer and some normal individues.The results obtained in the experiment shows an improvement offered by the new Deep Learning algoritms (specifically, Deep Neural Networks) to analyze and obtain knowledgement from microarrays data. Besides, has been observed an improvement of efficiency and the beat of computational barriers that traditional Artifical Neural Networks suffered allowing apply this bioinformatics tools of new generation tomasiva data sets.
YR 2017
FD 2017-01-26
LK http://hdl.handle.net/10630/12801
UL http://hdl.handle.net/10630/12801
LA spa
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026