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	Modeling and Analysis of Gene Regulatory Networks with A Bayesian-Driven Approach
	Wang, Shuqiang; Hu, Jinxing; Shen, Yanyan; Yin, Ling; Wei, Yanjie
	2014
会议名称	14th International Symposium on Communications and Information Technologies, ISCIT 2014
会议地点	Incheon
英文摘要	Modeling of gene regulatory networks play an important role in the post genomic era. In this work, we propose a Bayesian inference based model to quantitatively analyze the transcriptional regulatory network when the structure of regulatory network is given. In the proposed model, the dynamics of transcription factors are treated as a Markov process. Besides, the sequence features of genes are employed to calculate the binding affinity between transcription factor and its target genes. Experimental results on the real biological datasets show that the present model can effectively identify the activity levels of transcription factors, as well as the regulatory parameters. © 2014 IEEE.(31 refs)
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/6063]
专题	深圳先进技术研究院_数字所
作者单位	2014
推荐引用方式 GB/T 7714	Wang, Shuqiang,Hu, Jinxing,Shen, Yanyan,et al. Modeling and Analysis of Gene Regulatory Networks with A Bayesian-Driven Approach[C]. 见:14th International Symposium on Communications and Information Technologies, ISCIT 2014. Incheon.

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