دورية أكاديمية

Optimization-Based Approaches to Control of Probabilistic Boolean Networks

التفاصيل البيبلوغرافية
العنوان: Optimization-Based Approaches to Control of Probabilistic Boolean Networks
المؤلفون: Koichi Kobayashi, Kunihiko Hiraishi
المصدر: Algorithms, Vol 10, Iss 1, p 31 (2017)
بيانات النشر: MDPI AG, 2017.
سنة النشر: 2017
المجموعة: LCC:Industrial engineering. Management engineering
LCC:Electronic computers. Computer science
مصطلحات موضوعية: integer programming, gene regulatory network, polynomial optimization, probabilistic Boolean network, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95
الوصف: Control of gene regulatory networks is one of the fundamental topics in systems biology. In the last decade, control theory of Boolean networks (BNs), which is well known as a model of gene regulatory networks, has been widely studied. In this review paper, our previously proposed methods on optimal control of probabilistic Boolean networks (PBNs) are introduced. First, the outline of PBNs is explained. Next, an optimal control method using polynomial optimization is explained. The finite-time optimal control problem is reduced to a polynomial optimization problem. Furthermore, another finite-time optimal control problem, which can be reduced to an integer programming problem, is also explained.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1999-4893
Relation: http://www.mdpi.com/1999-4893/10/1/31; https://doaj.org/toc/1999-4893
DOI: 10.3390/a10010031
URL الوصول: https://doaj.org/article/39a5ad8225bb48c9aedb3c5f7b24780b
رقم الأكسشن: edsdoj.39a5ad8225bb48c9aedb3c5f7b24780b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19994893
DOI:10.3390/a10010031