Switch rates for bi-stable regulation networks of Gene Expression

碩士 === 中原大學 === 物理研究所 === 100 === Gene regulation is a very complicated and important biological process for which, there are many factors involved. In this thesis, we investigate the effect of intrinsic noise in the process of genetic regulation. The synthesis and dissociation of Transcription Fact...

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Main Authors:	Hong-Yuan Xu, 許鴻源
Other Authors:	Ming-Chang Huang
Format:	Others
Language:	zh-TW
Published:	2012
Online Access:	http://ndltd.ncl.edu.tw/handle/97852074062503808617

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spelling	ndltd-TW-100CYCU51980152015-10-13T21:32:35Z http://ndltd.ncl.edu.tw/handle/97852074062503808617 Switch rates for bi-stable regulation networks of Gene Expression 雙穩態基因調控網路之接通率 Hong-Yuan Xu 許鴻源碩士中原大學物理研究所 100 Gene regulation is a very complicated and important biological process for which, there are many factors involved. In this thesis, we investigate the effect of intrinsic noise in the process of genetic regulation. The synthesis and dissociation of Transcription Factors can be mathematically described by rate equation. To include the effect, we combine the two stochastic equation, Langevin equation and Fokker-Plank equation, in a bi-stable regulation model with two stochastic differential equations, we can calculate the mean first-passage time and switch rate between bi-stable states numerically. Further analysis of the results are also given. Ming-Chang Huang 黃敏章 2012 學位論文 ; thesis 38 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 中原大學 === 物理研究所 === 100 === Gene regulation is a very complicated and important biological process for which, there are many factors involved. In this thesis, we investigate the effect of intrinsic noise in the process of genetic regulation. The synthesis and dissociation of Transcription Factors can be mathematically described by rate equation. To include the effect, we combine the two stochastic equation, Langevin equation and Fokker-Plank equation, in a bi-stable regulation model with two stochastic differential equations, we can calculate the mean first-passage time and switch rate between bi-stable states numerically. Further analysis of the results are also given.
author2	Ming-Chang Huang
author_facet	Ming-Chang Huang Hong-Yuan Xu 許鴻源
author	Hong-Yuan Xu 許鴻源
spellingShingle	Hong-Yuan Xu 許鴻源 Switch rates for bi-stable regulation networks of Gene Expression
author_sort	Hong-Yuan Xu
title	Switch rates for bi-stable regulation networks of Gene Expression
title_short	Switch rates for bi-stable regulation networks of Gene Expression
title_full	Switch rates for bi-stable regulation networks of Gene Expression
title_fullStr	Switch rates for bi-stable regulation networks of Gene Expression
title_full_unstemmed	Switch rates for bi-stable regulation networks of Gene Expression
title_sort	switch rates for bi-stable regulation networks of gene expression
publishDate	2012
url	http://ndltd.ncl.edu.tw/handle/97852074062503808617
work_keys_str_mv	AT hongyuanxu switchratesforbistableregulationnetworksofgeneexpression AT xǔhóngyuán switchratesforbistableregulationnetworksofgeneexpression AT hongyuanxu shuāngwěntàijīyīndiàokòngwǎnglùzhījiētōnglǜ AT xǔhóngyuán shuāngwěntàijīyīndiàokòngwǎnglùzhījiētōnglǜ
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Switch rates for bi-stable regulation networks of Gene Expression

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