Hybrid-Controlled Neurofuzzy Networks Analysis Resulting in Genetic Regulatory Networks Reconstruction
نویسندگان
چکیده
منابع مشابه
Hybrid-Controlled Neurofuzzy Networks Analysis Resulting in Genetic Regulatory Networks Reconstruction
Reverse engineering of gene regulatory networks (GRNs) is the process of estimating genetic interactions of a cellular system from gene expression data. In this paper, we propose a novel hybrid systematic algorithm based on neurofuzzy network for reconstructing GRNs from observational gene expression data when only a medium-small number of measurements are available. The approach uses fuzzy log...
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Parallel Analysis of Genetic Regulatory Networks
Studies of cells in silico can greatly reduce the need for expensive and prolonged laboratory experimentation. The use of model checking for the analysis of biological networks has attracted much attention [2, 6]. The individual approaches differ in reduction methods used for discretization of biological models and model-checking tools employed for the analysis. Our approach focuses on analysis...
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ژورنال
عنوان ژورنال: ISRN Bioinformatics
سال: 2012
ISSN: 2090-7346
DOI: 10.5402/2012/419419