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   A Review of Modeling Techniques for Genetic Regulatory Networks  
   
نویسنده Yaghoobi Hanif ,Haghipour Siyamak ,Hamzeiy Hossein ,Asadi-Khiavi Masoud
منبع journal of medical signals and sensors - 2012 - دوره : 2 - شماره : 1 - صفحه:61 -70
چکیده    Understanding the genetic regulatory networks, the discovery of interactions between genes and understanding regulatory processes in a cell at the gene level are the major goals of system biology and computational biology. modeling gene regulatory networks and describing the actions of the cells at the molecular level are used in medicine and molecular biology applications such as metabolic pathways and drug discovery. modeling these networks is also one of the important issues in genomic signal processing. after the advent of microarray technology, it is possible to model these networks using time–series data. in this paper, we provide an extensive review of methods that have been used on time–series data and represent the features, advantages and disadvantages of each. also, we classify these methods according to their nature. a parallel study of these methods can lead to the discovery of new synthetic methods or improve previous methods.
کلیدواژه Gene regulatory network ,GRN reverse engineering models ,microarray time–series data
آدرس islamic azad university, Department of Biomedical Engineering, ایران, islamic azad university, Department of Biomedical Engineering, ایران, tabriz university of medical sciences, Department of Pharmacology and Toxicology, School of Pharmacy, ایران, zanjan university of medical sciences, Department of Pharmacology and Toxicology, School of Pharmacy, ایران
پست الکترونیکی makhiavi@gmail.com
 
     
   
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