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A method for modelling genetic regulatory networks by using evolving connectionist systems and microarray gene expression data

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2 Author(s)
Kasabov, N.K. ; Knowledge Eng. & Discovery Res. Inst., Auckland Univ. of Technol., New Zealand ; Dimitrov, D.S.

The paper describes the problem of discovering genetic networks from time course gene expression data (the reverse engineering approach) and introduces a novel method for using evolving connectionist systems (ECOS) for this task. A case study is used to illustrate the approach. Genetic regulatory networks, once constructed, can be potentially used to model the behaviour of a cell or an organism from initial conditions.

Published in:

Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on  (Volume:2 )

Date of Conference:

18-22 Nov. 2002