在贝叶斯网络的背景下通路分析-主和分析基因的数学建模

2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) Pub Date : 2011-12-01 DOI:10.1109/GENSiPS.2011.6169444

Chen Zhao, I. Ivanov, M. Bittner, E. Dougherty

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引用次数: 0

摘要

我们利用树状结构的贝叶斯网络通过决定系数(CoD)来表征和检测主基因和分析基因。主控基因对一组基因具有很强的调控能力，而在某些细胞条件下，导通基因接管了对大群基因的调控。这两个概念虽然有联系，但并不相同，我们所采用的分析方法揭示了这种差异。我们还考虑在贝叶斯模型的框架内对成功的药物干预进行假设检验。

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Pathway analysis in the context of Bayesian networks - mathematical modeling of master and canalizing genes

We utilize a tree-structured Bayesian network to characterize and detect master and canalizing genes via the coefficient of determination (CoD). Master genes possess strong regulation over groups of genes, whereas canalizing genes take over the regulation of large cohorts under certain cell conditions. While related, the two concepts are not the same and the analytic measures we employ reveal that difference. We also consider hypothesis testing for successful drug intervention in the framework of the Bayesian model.

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2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

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