Modeling and Analysis of Gene Regulatory Networks with A Bayesian-Driven Approach
文献类型：会议论文
| 作者 | Wang, Shuqiang; Hu, Jinxing; Shen, Yanyan; Yin, Ling; Wei, Yanjie |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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