Designing Genetic Regulatory Networks Using Fuzzy Petri Nets Approach

作     者：Raed I.Hamed Syed I.Ahson Rafat Parveen 

作者机构：Department of Computer Science University of Jamia Millia Islamia New Delhi 110025 India Department of Bioinformatics and Computational Biology Patna University Patna 800005 India 

基　　金：supported by Department of Computer Science Project of University of Jamia Millia Islamia  India (No. 39151-A) 

出 版 物：《International Journal of Automation and computing》 (国际自动化与计算杂志（英文版）)

年 卷 期：2010年第7卷第3期

页      码：403-412页

摘      要：In this paper, we have successfully presented a fuzzy Petri net （FPN） model to design the genetic regulatory network. Based on the FPN model, an efficient algorithm is proposed to automatically reason about imprecise and fuzzy information. By using the reasoning algorithm for the FPN, we present an alternative approach that is more promising than the fuzzy logic. The proposed FPN approach offers more flexible reasoning capability because it is able to obtain results with fuzzy intervals rather than point values. In this paper, a novel model with a new concept of hidden fuzzy transition （HFT） to design the genetic regulatory network is developed. We have built the FPN model and classified the input data in terms of time point and obtained the output data, so the system can be viewed as the two-input and one output system. This method eliminates possible false predictions from the classical fuzzy model thereby allowing a wider search space for inferring regulatory relationship. The experimental results show the proposed approach is feasible and acceptable to design the genetic regulatory network and investigate the dynamical behaviors of gene network.

主 题 词：Genetic regulatory networks fuzzy Petri net (FPN) fuzzy reasoning fuzzy transition modeling. 

学科分类：08[工学] 081202[081202] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1007/s11633-010-0521-9

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