Computational Intelligence Techniques for Classification in Microarray Analysis - Computational Intelligence in Healthcare: Advanced Methodologies - page 277

Chapter 13
Computational Intelligence Techniques for Classification
in Microarray Analysis
Juan F. De Paz 1 , Javier Bajo 2 , Sara Rodríguez 1 , and Juan M. Corchado 1
1 Departamento de Informática y Automática, Universidad de Salamanca
Plaza de la Merced s/n, 37008, Salamanca, España
2 Universidad Pontificia de Salamanca
Compañía 5, 37002, Salamanca, España
{fcofds,srg,corchado}@usal.es, [e-mail]
Abstract. During the last few years there has been a growing need for using
computational intelligence techniques to analyze microarray data. The aim of
the system presented in this study is to provide innovative decision support
techniques for classifying data from microarrays and for extracting knowledge
about the classification process. The computational intelligence techniques used
in this chapter follow the case-based reasoning paradigm to emulate the steps
followed in expression analysis. This work presents 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 RIPPER algorithm. The system presented
within this chapter has been applied to classify CLL patients and extract knowl-
edge about the classification process. The results obtained permit us to conclude
that the system provides a notable reduction of the dimensionality of the data
obtained from microarrays. Moreover, the classification process takes the detec-
tion of relevant and irrelevant probes into account, which is fundamental for
subsequent classification and an extraction of knowledge tool with a graphical
interface to explain the classification process, and has been much appreciated
by the human experts. Finally, the philosophy of the CBR systems facilitates
the resolution of new problems using past experiences, which is very appropri-
ate regarding the classification of leukemia.
Keywords: Case-based Reasoning, HG U133, ESOINN, CLL leukemia
classification, decision rules.
1 Introduction
The use of computational intelligence techniques has become fundamental in medi-
cine, since there is a growing need of decision support tool that facilitate the monitor-
ing of patients and the automatic processing of patient's data [1] [2] [3]. One of the
fields in medicine requiring computational intelligence is the analysis of microarrays,
and more specifically expression arrays, for the analysis of different sequences of