Statistical Characteristics of the First Passage Time Analysis for the Gene Regulatory Circuit in Bacillus subtilis by Cell Mapping Method

In this paper, we will explore the stochastic exit problem for the gene regulatory circuit in B. subtilis affected by colored noise. The stochastic exit problem studies the state transition in B. subtilis (from competent state to vegetative state in this case) through three different quantities: the...

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Main Authors: Liang Wang, Minjuan Yuan, Shichao Ma, Xiaole Yue, Ying Zhang
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/3062859
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spelling doaj-2ae74d343e3c4616962889bb9bbfc6192020-11-25T00:29:28ZengHindawi-WileyComplexity1076-27871099-05262020-01-01202010.1155/2020/30628593062859Statistical Characteristics of the First Passage Time Analysis for the Gene Regulatory Circuit in Bacillus subtilis by Cell Mapping MethodLiang Wang0Minjuan Yuan1Shichao Ma2Xiaole Yue3Ying Zhang4Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710129, ChinaDepartment of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710129, ChinaSchool of Astronautics, Northwestern Polytechnical University, Xi’an 710072, ChinaDepartment of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710129, ChinaDepartment of Applied Mathematics, Northwestern Polytechnical University, Xi’an 710129, ChinaIn this paper, we will explore the stochastic exit problem for the gene regulatory circuit in B. subtilis affected by colored noise. The stochastic exit problem studies the state transition in B. subtilis (from competent state to vegetative state in this case) through three different quantities: the probability density function of the first passage time, the mean of first passage time, and the reliability function. To satisfy the Markov nature, we convert the colored noise system into the equivalent white noise system. Then, the stochastic generalized cell mapping method can be used to explore the stochastic exit problem. The results indicate that the intensity of noise and system parameters have the effect on the transition from competent to vegetative state in B. subtilis. In addition, the effectiveness of the stochastic generalized cell mapping method is verified by Monte Carlo simulation.http://dx.doi.org/10.1155/2020/3062859
collection DOAJ
language English
format Article
sources DOAJ
author Liang Wang
Minjuan Yuan
Shichao Ma
Xiaole Yue
Ying Zhang
spellingShingle Liang Wang
Minjuan Yuan
Shichao Ma
Xiaole Yue
Ying Zhang
Statistical Characteristics of the First Passage Time Analysis for the Gene Regulatory Circuit in Bacillus subtilis by Cell Mapping Method
Complexity
author_facet Liang Wang
Minjuan Yuan
Shichao Ma
Xiaole Yue
Ying Zhang
author_sort Liang Wang
title Statistical Characteristics of the First Passage Time Analysis for the Gene Regulatory Circuit in Bacillus subtilis by Cell Mapping Method
title_short Statistical Characteristics of the First Passage Time Analysis for the Gene Regulatory Circuit in Bacillus subtilis by Cell Mapping Method
title_full Statistical Characteristics of the First Passage Time Analysis for the Gene Regulatory Circuit in Bacillus subtilis by Cell Mapping Method
title_fullStr Statistical Characteristics of the First Passage Time Analysis for the Gene Regulatory Circuit in Bacillus subtilis by Cell Mapping Method
title_full_unstemmed Statistical Characteristics of the First Passage Time Analysis for the Gene Regulatory Circuit in Bacillus subtilis by Cell Mapping Method
title_sort statistical characteristics of the first passage time analysis for the gene regulatory circuit in bacillus subtilis by cell mapping method
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2020-01-01
description In this paper, we will explore the stochastic exit problem for the gene regulatory circuit in B. subtilis affected by colored noise. The stochastic exit problem studies the state transition in B. subtilis (from competent state to vegetative state in this case) through three different quantities: the probability density function of the first passage time, the mean of first passage time, and the reliability function. To satisfy the Markov nature, we convert the colored noise system into the equivalent white noise system. Then, the stochastic generalized cell mapping method can be used to explore the stochastic exit problem. The results indicate that the intensity of noise and system parameters have the effect on the transition from competent to vegetative state in B. subtilis. In addition, the effectiveness of the stochastic generalized cell mapping method is verified by Monte Carlo simulation.
url http://dx.doi.org/10.1155/2020/3062859
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AT minjuanyuan statisticalcharacteristicsofthefirstpassagetimeanalysisforthegeneregulatorycircuitinbacillussubtilisbycellmappingmethod
AT shichaoma statisticalcharacteristicsofthefirstpassagetimeanalysisforthegeneregulatorycircuitinbacillussubtilisbycellmappingmethod
AT xiaoleyue statisticalcharacteristicsofthefirstpassagetimeanalysisforthegeneregulatorycircuitinbacillussubtilisbycellmappingmethod
AT yingzhang statisticalcharacteristicsofthefirstpassagetimeanalysisforthegeneregulatorycircuitinbacillussubtilisbycellmappingmethod
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