کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2076894 | 1079468 | 2007 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A Markovian approach to the control of genetic regulatory networks
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موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
مدلسازی و شبیه سازی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A Markovian approach to the control of genetic regulatory networks A Markovian approach to the control of genetic regulatory networks](/preview/png/2076894.png)
چکیده انگلیسی
This paper presents an approach for controlling gene networks based on a Markov chain model, where the state of a gene network is represented as a probability distribution, while state transitions are considered to be probabilistic. An algorithm is proposed to determine a sequence of control actions that drives (without state feedback) the state of a given network to within a desired state set with a prescribed minimum or maximum probability. A heuristic is proposed and shown to improve the efficiency of the algorithm for a class of genetic networks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems - Volume 90, Issue 2, September–October 2007, Pages 535–545
Journal: Biosystems - Volume 90, Issue 2, September–October 2007, Pages 535–545
نویسندگان
Peter C.Y. Chen, Jeremy W. Chen,