Rule-based microarray classification system using multi-agent approach

Authors:
Gregor Štiglic;Peter Kokol
Affiliations:
Laboratory for System Design, FERI, University of Maribor, Smetanova, Maribor, Slovenia;Laboratory for System Design, FERI, University of Maribor, Smetanova, Maribor, Slovenia
Venue:
AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
Year:
2004

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Abstract

In the recent years there has been a lot of scientific work done in the field of microarray analysis. The technology itself enables us to analyze multiple tissues and scan their gene expression levels. When a significant number of such gene scans is collected we can perform different supervised classification methods. Our goal is to find significant classification genes using simple rules that can be used by agents when searching through the gene expression database search space. This way we can get a small subset of significant features (genes) that can help us identifying the clinical state of the patient. In our work we propose a method that is based on ideas from multi-agent systems and produces simple rules that can easily be evaluated by experts in the biomedicine field.