Modelling gene regulatory networks using computational intelligence techniques

Ramesh Ram, Madhusudan Rajgopal Chetty

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

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    Abstract

    This chapter presents modelling gene regulatory networks (GRNs) using probabilistic causal model and the guided genetic algorithm. The problem of modelling is explained from both a biological and computational perspective. Further, a comprehensive methodology for developing a GRN model is pre-sented where the application of computation intelligence (CI) techniques can be seen to be significantly important in each phase of modelling. An illustrative example of the causal model for GRN modelling is also included and applied to model the yeast cell cycle dataset. The results obtained are compared for providing biological relevance to the findings which thereby underpins the CI based modelling techniques. © 2010, IGI Global.

    Original languageEnglish
    Title of host publicationHandbook of Research on Computational Methodologies in Gene Regulatory Networks
    EditorsSanjoy Das, Diona Caragea, Stephen M Welch, William H Hsu
    Place of PublicationHershey PA USA
    PublisherIGI Global
    Pages244-264
    Number of pages21
    Edition1
    ISBN (Print)9781605666853
    DOIs
    Publication statusPublished - 2009

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