Supporting system for detecting pathologies

Authors:
Carolina Zato;Juan F. De Paz;Fernando de la Prieta;Beatriz Martín
Affiliations:
Department of Computer Science and Automation, University of Salamanca, Salamanca, Spain;Department of Computer Science and Automation, University of Salamanca, Salamanca, Spain;Department of Computer Science and Automation, University of Salamanca, Salamanca, Spain;Department of Computer Science and Automation, University of Salamanca, Salamanca, Spain
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Year:
2011

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Abstract

Arrays CGH make possible the realization of tests on patients for the detection of mutations in chromosomal regions. Detecting these mutations allows to carry out diagnoses and to complete studies of sequencing in relevant regions of the DNA. The analysis process of arrays CGH requires the use of mechanisms that facilitate the data processing by specialized personnel since traditionally, a segmentation process is needed and starting from the segmented data, a visual analysis of the information is carried out for the selection of relevant segments. In this study a CBR system is presented as a supporting system for the extraction of relevant information in arrays CGH that facilitates the process of analysis and its interpretation.