Review Article: Recent Advances in Artificial Immune Systems: Models and Applications
Applied Soft Computing
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Artificial Immune Systems (AIS) are emerging information processing methods, which embody the principles of biological immune systems for tackling complex realworld problems. The Artificial Immune Recognition System (AIRS) is a new kind of supervised learning AIS. The development of microarray technology has supplied a large volume of data for the prediction and diagnosis of cancer. Many popular machine learning techniques have been used in the microarray data analysis. In this paper, we apply AIRS to perform the microarray data classification based on an improved version of the information gain feature selection method. Three traditional classifiers have also been employed in our experiments for performance comparison. The results demonstrate the promising ability of AIRS in the microarray data analysis.