An evolutionary algorithm taking account of mutual interactions among substances for inference of genetic networks

Isao Ono, Norihiko Ono, Yoshiaki Seike, Masahiko Nakatsui, Ryohei Morishita, Masahiro Okamoto

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

7 被引用数 (Scopus)

抄録

In this paper, we improve Network-Structure-Search Evolutionary Algorithm (NSS-EA) that is a search method for inference of genetic networks by S-system. Search methods for inference of genetic networks by S-system should meet the following requirements; 1) efficient search of a set of satisfactory structures, 2) search of structures satisfying biological knowledge and 3) search of the true structure. NSS-EA is an excellent method from the viewpoints of Requirement 1 and 2. However, it has a problem from the viewpoint of Requirement 3, In order to solve this problem, first, we improve the parameter search process by using the time course data of disrupted strains as well as that of a wild type when evaluating genetic networks. Second, we propose four new structure-search operators taking account of mutual interactions among substances. We show the effectiveness of the proposed improvements for NSS-EA from the viewpoint of Requirement 3 by comparing the performance of the original NSS-EA and the improved NSS-EA on a five-substance benchmark problem.

本文言語英語
ホスト出版物のタイトルProceedings of the 2004 Congress on Evolutionary Computation, CEC2004
ページ2060-2067
ページ数8
2
出版ステータス出版済み - 2004
イベントProceedings of the 2004 Congress on Evolutionary Computation, CEC2004 - Portland, OR, 米国
継続期間: 6 19 20046 23 2004

その他

その他Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Country米国
CityPortland, OR
Period6/19/046/23/04

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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