ESTIMATION OF GENETIC NETWORKS AND FUNCTIONAL STRUCTURES BETWEEN GENES BY USING BAYESIAN NETWORKS AND NONPARAMETRIC REGRESSION

机译：用贝叶斯网络和非参数回归估计基因间的遗传网络和功能结构。

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We propose a new method for constructing genetic network from gene expression data by using Bayesian networks. We use nonparametric regression for capturing nonlinear relationships between genes and derive a new criterion for choosing the network in general situations. In a theoretical sense, our proposed theory and methodology include previous methods based on Bayes approach. We applied the proposed method to the S. cereuisiae cell cycle data and showed the effectiveness of our method by comparing with previous methods.

机译：我们提出了一种使用贝叶斯网络从基因表达数据构建遗传网络的新方法。我们使用非参数回归来捕获基因之间的非线性关系，并得出在一般情况下选择网络的新标准。从理论上讲，我们提出的理论和方法包括基于贝叶斯方法的先前方法。我们将所提出的方法应用于酿酒酵母细胞周期数据，并通过与以前的方法进行比较证明了我们方法的有效性。

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来源
《Pacific Symposium on Biocomputing 2002, Jan 3-7, 2002, Kauai, Hawaii》|2002年|p.175-186|共12页
会议地点 Kauai HI(US);Kauai HI(US)
作者
SEIYA IMOTO; TAKAO GOTO; SATORU MIYANO;
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作者单位

Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan;

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原文格式 PDF
正文语种 eng
中图分类 Q8;
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专利

1. Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network [J] . Seiya Imoto, Sunyong Kim, Takao Goto, Journal of Bioinformatics and Computational Biology . 2003,第2期

机译：贝叶斯网络和遗传网络非线性建模的非参数异方差回归
2. Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network [J] . Seiya Imoto, Sunyong Kim, Takao Goto, Journal of Bioinformatics and Computational Biology . 2003,第2期

机译：贝叶斯网络和遗传网络非线性建模的非参数异方差回归
3. Discerning Functional Connections in the Pulsed Neural Networks with the Dynamic Bayesian Network Structure Search Method Based on a Genetic Algorithm [J] . Dong Chaoxuan, Chen Xiao-Yan, Dong Chao-Yi Journal of computational biology: A journal of computational molecular cell biology . 2019,第11期

机译：基于遗传算法的动态贝叶斯网络结构搜索方法辨别脉冲神经网络中的功能连接
4. Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network [C] . Imoto, S., Kim Sunyong, . 2002

机译：贝叶斯网络和非参数异方差回归用于遗传网络的非线性建模
5. Causal not confounded gene networks: Inferring acyclic and non-acyclic gene Bayesian networks in mRNA expression studies using recursive V-structures, genetic variation, and orthogonal causal anchor structural equation models. [D] . Aten, Jason Erik. 2008

机译：因果不混淆的基因网络：使用递归V型结构，遗传变异和正交因果锚结构方程模型，在mRNA表达研究中推断无环和非无环基因贝叶斯网络。
6. Inference of Gene Regulatory Networks Using Bayesian Nonparametric Regression and Topology Information [O] . Yue Fan, Xiao Wang, Qinke Peng 2017

机译：利用贝叶斯非参数回归和拓扑信息推断基因调控网络
7. Estimation of Genetic Networks and Functional Structures between Genes by Using Bayesian Networks and Nonparametric Regression [O] . Seiya Imoto, Takao Goto, Satoru Miyano 2002

机译：用贝叶斯网络和非参数回归估计基因间的遗传网络和功能结构

ESTIMATION OF GENETIC NETWORKS AND FUNCTIONAL STRUCTURES BETWEEN GENES BY USING BAYESIAN NETWORKS AND NONPARAMETRIC REGRESSION

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