Identification of gene pathway involved in clinical traits using Bayesian network classifiers

机译：贝叶斯网络分类器鉴定临床性状涉及的基因途径

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Many studies of correlations between levels of gene expressions and clinical traits enable the identification of genes responsible for clinical traits and the prediction of the causal relationship among them. However, many of them are single gene based approaches, which do not consider the correlation and interaction among genes. Gene pathways are sets of genes that share common particular cellular function or regulation. Identifying and analyzing known gene pathways that are involved in clinical traits can capture more biological information for the further studies. In this paper, we propose a method for identifying gene pathways that are associated with clinical trait using Bayesian network classifiers. The method focuses on gene sets, and reveals many gene pathways in gastric cancer. We test our method using gene microarray data from gastric cancer tissues.

机译：许多研究基因表达水平与临床特征之间的相关性能够鉴定负责临床特征的基因以及预测它们之间的因果关系。然而，其中许多是基于单一基因的方法，其不考虑基因之间的相关性和相互作用。基因途径是共享常见特定细胞功能或调节的基因。鉴定和分析涉及临床特征的已知基因途径可以捕获更多的生物信息以进行进一步的研究。在本文中，我们提出了一种用贝叶斯网络分类器鉴定与临床特征相关的基因途径的方法。该方法侧重于基因集，并揭示了胃癌中许多基因途径。我们使用来自胃癌组织的基因微阵列数据来测试我们的方法。

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《International Conference on Bioinformatics Computational Biology》|2010年||共7页
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作者
LI Jiangeng; ZHU Yi; RUAN Xiaogang;
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中图分类 TP3-53;
关键词
Gene pathways; Bayesian networks; Bayesian classifiers; Gene microarray data analysis;

机译：基因途径;贝叶斯网络;贝叶斯分类器;基因微阵列数据分析;

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4. Identification of gene pathway involved in clinical traits using Bayesian network classifiers [C] . LI Jiangeng, ZHU Yi, RUAN Xiaogang International Conference on Bioinformatics Computational Biology . 2010

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Identification of gene pathway involved in clinical traits using Bayesian network classifiers

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