Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/64285
Title: Ant colony optimization for predicting gene interactions from expression data
Author: Moncho Escriva, Ester
Tutor: Jiménez-García, Brian  
Others: Universitat Oberta de Catalunya
Sánchez-Pla, Alex  
Perez-Navarro, Antoni  
Ventura, Carles  
Merino, David  
Morán Moreno, Jose Antonio  
Marco-Galindo, Maria-Jesús  
Abstract: Ant Colony Optimization is an algorithm from the Swarm Intelligence family that has been used for optimization problems including prediction of key gene interactions from expression data. In this Final Project, ACO has been modified and used for predicting more than key interactions in gene interaction networks from expression data.
Keywords: gene interaction network
dades d'expressió gènica
ant colony optimization algorithms
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 SizeFormat 
emonchoTFM0617memory.pdfTFM Memory3,3 MBAdobe PDFThumbnail
View/Open