Inference of a gene regulatory network by means of interactive evolutionary computing

Authors:
Hitoshi Iba;Atsushi Mimura
Affiliations:
Graduate School of Frontier Sciences, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, Japan;Sony Corporation Limited, 6-7-35 Kitashinagawa, Shinagawa-ku, Tokyo 141-0001, Japan
Venue:
Information Sciences—Informatics and Computer Science: An International Journal - Bioinformatics-selected papers from 4th CBGI & 6th JCIS Proceedings
Year:
2002

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Abstract

Inferring a gene regulatory network is one of the challenging topics in, the field of Bioinformatics. In order to infer a network structure effectively, the new approach that allows human intervention and strategic data acquisition in the inference process seems to be necessary. In this paper, we will propose an effective approach for interactively inferring gene regulatory networks using gene expression data from DNA microarrays. We will also establish the system that realizes our approach by GA-based interactive algorithm. Experimental results show that our method can infer the network structure accurately with a relatively small amount of expression data.