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

摘要

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.