Optimization-based approaches to control of probabilistic Boolean networks
type: Item
instance of: scholarly article
title: Optimization-based approaches to control of probabilistic Boolean networks
zbMATH Open document ID: 1461.93291
author: Koichi Kobayashi
author: Kunihiko Hiraishi
published in: Algorithms
publication date: 2018-08-20T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 90C10
Mathematics Subject Classification ID: 92C42
zbMATH DE Number: 6920576
zbMATH Keywords: integer programming
zbMATH Keywords: gene regulatory network
zbMATH Keywords: polynomial optimization
zbMATH Keywords: probabilistic Boolean network
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.3390/a10010031
OpenAlex ID: W2590247680
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DOI: 10.3390/A10010031
description: scientific article; zbMATH DE number 6920576