MicroCBR: A case-based reasoning architecture for the classification of microarray data

Authors:
Juan F. De Paz;Javier Bajo;Vicente Vera;Juan M. Corchado
Affiliations:
Departamento Informática y Automática, University of Salamanca, Plaza de la Merced s/n, 37008 Salamanca, Spain;Departamento Informática y Automática, University of Salamanca, Plaza de la Merced s/n, 37008 Salamanca, Spain;Departamento de Estomatologia II, Facultad de Odontologia, Universidad Complutense de Madrid, Plaza de Ramon y Cajal, s/n, Ciudad Universitaria, 28040 Madrid, Spain;Departamento Informática y Automática, University of Salamanca, Plaza de la Merced s/n, 37008 Salamanca, Spain
Venue:
Applied Soft Computing
Year:
2011

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Abstract

Microarray technology provides a great amount of data requiring analysis, and the use of new intelligent algorithms that identify the relevant information for the classification process has become essential. This study presents a classification tool called MicroCBR that uses the case-based reasoning paradigm and incorporates a novel filtering technique based on statistical methods, a new clustering technique that uses ESOINN (Enhanced Self-Organizing Incremental Neuronal Network), and a knowledge extraction technique based on the J48 algorithm. MicroCBR has been applied to classify 91 CLL patients and the results obtained are shown in this paper.