2D-PAGE Analysis Using Evolutionary Computation

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Author(s): Pablo Mesejo (University of A Coroña, Spain), Enrique Fernández-Blanco (University of A Coroña, Spain), Diego Martínez-Feijóo (University of A Coroña, Spain)and Francisco J. Blanco (Juan Canalejo Hospital, Spain)
Copyright: 2009
Pages: 6
Source title: Encyclopedia of Artificial Intelligence
Source Author(s)/Editor(s): Juan Ramón Rabuñal Dopico (University of A Coruña, Spain), Julian Dorado (University of A Coruña, Spain)and Alejandro Pazos (University of A Coruña, Spain)
DOI: 10.4018/978-1-59904-849-9.ch232

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

This paper presents the preliminary studies for the creation of a new tool to assist in medical diagnostic. The tool will help in the analysis of 2D-PAGE images. In order to create a 2D-PAGE image of an ideal patient—the patient could be healthy or ill—the tool will help us in the creation of an image that facilitates and speeds up future diagnostics. The creation of a master image has motivated the development of a tool to alignment gel images. The tool will make easier the correspondence among the proteins into the ideal image and the ones of a new image. Due to the fact that image registering process is quite complex, we use the Intel’s library OpenCV which provides functions to calculate optical flow and translation vectors. This library introduces into the project a set of variables unknown by the facultative. To solve this, an automatic selection of values for this set of variables is necessary. This last task is made with the Evolutionary Computation technique called Particle Swarm Optimization (Kennedy, R. & Eberhart, J. 1995)

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2D-PAGE Analysis Using Evolutionary Computation

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