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A Heuristic Method for Generating Probabilistic Boolean Networks from a Prescribed Transition Probability Matrix

机译：从规定的转移概率矩阵生成概率布尔网络的启发式方法

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摘要

Probabilistic Boolean Networks (PBNs) have received much attention for modeling genetic regulatory networks. In this paper, we propose efficient algorithms for constructing a probabilistic Boolean network when its transition probability matrix is given. This is an important inverse problem in network inference from steady-state data, as most microarray data sets are assumed to be obtained from sampling the steady-state.

机译：概率布尔网络（PBN）在建模遗传调控网络方面受到了广泛关注。在本文中，当给出其转移概率矩阵时，我们提出了一种构建概率布尔网络的有效算法。这是从稳态数据进行网络推断的一个重要的逆问题，因为大多数微阵列数据集都假定是从对稳态进行采样获得的。

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来源
《Optimization and Systems Biology》|2008年|271-278|共8页
会议地点 Lijiang(CN);Lijiang(CN)
作者
ZHOU Yong; rnZHU Yanpeng;
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作者单位

Wai-Ki Ching@Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Hong Kong.--Xi Chen@Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Hong Kong.--Nam-Kiu Tsing@Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Hong Kong.--Ho-Yin Leung@Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Hong Kong.--;

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原文格式 PDF
正文语种 eng
中图分类生物工程学（生物技术）;
关键词
Boolean Networks; Probabilistic Boolean Networks; Inverse Problem; Transition Probability Matrix;

机译：布尔网络;概率布尔网络;反问题;转移概率矩阵;

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专利

1. Generating probabilistic Boolean networks from a prescribed transition probability matrix [J] . W.-K. Ching, X. Chen, N.-K. Tsing IEE Proceedings . 2009,第6期

机译：从规定的转移概率矩阵生成概率布尔网络
2. A matrix perturbation method for computing the steady-state probability distributions of probabilistic Boolean networks with gene perturbations [J] . Xu, W.-W., Ching, W.-K., Zhang, S.-Q., Journal of Computational and Applied Mathematics . 2011,第8期

机译：矩阵摄动法计算带基因摄动的概率布尔网络的稳态概率分布
3. Generating probabilistic Boolean networks from a prescribed stationary distribution [J] . Zhang SQ, Ching WK, Chen X, Information Sciences: An International Journal . 2010,第13期

机译：根据规定的平稳分布生成概率布尔网络
4. A Heuristic Method for Generating Probabilistic Boolean Networks from a Prescribed Transition Probability Matrix [C] . Wai-Ki Ching, Xi Chen, Nam-Kiu Tsing, International Symposium on Optimization and Systems Biology . 2008

机译：一种从规定的转换概率矩阵生成概率布尔网络的启发式方法
5. Boolean factor analysis: A review of a novel method of matrix decomposition and neural network Boolean factor analysis. [D] . Upadrasta, Bharat. 2009

机译：布尔因子分析：矩阵分解和神经网络布尔因子分析的一种新方法的回顾。
6. Relationships between probabilistic Boolean networks and dynamic Bayesian networks as models of gene regulatory networks [O] . Harri Lähdesmäki, Sampsa Hautaniemi, Ilya Shmulevich, -1

机译：概率布尔网络与动态贝叶斯网络之间的关系作为基因调控网络的模型
7. A matrix perturbation method for computing the steady-state probability distributions of probabilistic Boolean networks with gene perturbations [O] . Ching, WK, Li, W, Chen, XS, 2011

机译：一种用基因扰动计算概率布尔网络稳态概率分布的矩阵摄动法

A Heuristic Method for Generating Probabilistic Boolean Networks from a Prescribed Transition Probability Matrix

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