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A New Method to Build Gene Regulation Network Based on Fuzzy Hierarchical Clustering Methods

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  • Maghsoodi, Masoume

Abstract

The construction of genetic regulatory networks is understanding the relationship among genes or circuits which regulate the conditions of cells in response to internal or external stimuli. In fact, the objective is to understand the network of relationship among genes which determine which genes are responsible for activating other genes. The understanding of relationships may help to identify the genes which are involved in a disease and design the drugs. The most important limitations in gene regulatory network inference are low number of samples, noise penetration possibility, and large number of genes. There are different models to build gene regulatory network. This study used fuzzy hierarchical clustering method to infer gene regulatory network. Using clustering, the similar genes will be in a cluster. Many edges therefore will be removed. The final assessments showed that the genes clustering increased the efficiency of gene regulation network inference methods.

Suggested Citation

  • Maghsoodi, Masoume, 2016. "A New Method to Build Gene Regulation Network Based on Fuzzy Hierarchical Clustering Methods," MPRA Paper 79743, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:79743
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    References listed on IDEAS

    as
    1. Vân Anh Huynh-Thu & Alexandre Irrthum & Louis Wehenkel & Pierre Geurts, 2010. "Inferring Regulatory Networks from Expression Data Using Tree-Based Methods," PLOS ONE, Public Library of Science, vol. 5(9), pages 1-10, September.
    2. Jeremiah J Faith & Boris Hayete & Joshua T Thaden & Ilaria Mogno & Jamey Wierzbowski & Guillaume Cottarel & Simon Kasif & James J Collins & Timothy S Gardner, 2007. "Large-Scale Mapping and Validation of Escherichia coli Transcriptional Regulation from a Compendium of Expression Profiles," PLOS Biology, Public Library of Science, vol. 5(1), pages 1-13, January.
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    More about this item

    Keywords

    Principal Component Analysis; Head Cluster; Clustering; Gene Regulation Network.;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling

    NEP fields

    This paper has been announced in the following NEP Reports:

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