Modeling and Analysis of Gene Regulatory Networks with A Bayesian-Driven Approach

被引:0
|
作者
Wang, Shuqiang [1 ]
Hu, Jinxing [1 ]
Shen, Yanyan [2 ]
Yin, Ling [1 ]
Wei, Yanjie [1 ]
机构
[1] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China
[2] Inha Univ, Sch Informat & Commun Engn, Inchon 402751, South Korea
来源
2014 14TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT) | 2014年
关键词
Bayes method; Gene regulatory network; Binding energy; Sequence feature; TRANSCRIPTION; SEQUENCE; DYNAMICS; PATTERNS;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
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.
引用
收藏
页码:289 / 293
页数:5
相关论文
共 50 条
  • [1] Stochastic Boolean networks: An efficient approach to modeling gene regulatory networks
    Liang, Jinghang
    Han, Jie
    BMC SYSTEMS BIOLOGY, 2012, 6
  • [2] A Sparse Bayesian Learning Based Approach to Inferring Gene Regulatory Networks
    Singh, Nitin
    Sundaresan, Aishwarya
    Vidyasagar, M.
    2013 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP), 2013, : 113 - 116
  • [3] Modeling of Hysteresis in Gene Regulatory Networks
    J. Hu
    K. R. Qin
    C. Xiang
    T. H. Lee
    Bulletin of Mathematical Biology, 2012, 74 : 1727 - 1753
  • [4] Modeling of Hysteresis in Gene Regulatory Networks
    Hu, J.
    Qin, K. R.
    Xiang, C.
    Lee, T. H.
    BULLETIN OF MATHEMATICAL BIOLOGY, 2012, 74 (08) : 1727 - 1753
  • [5] Diffusion driven oscillations in gene regulatory networks
    Macnamara, Cicely K.
    Chaplain, Mark A. J.
    JOURNAL OF THEORETICAL BIOLOGY, 2016, 407 : 51 - 70
  • [6] Bayesian Nonlinear Model Selection for Gene Regulatory Networks
    Ni, Yang
    Stingo, Francesco C.
    Baladandayuthapani, Veerabhadran
    BIOMETRICS, 2015, 71 (03) : 585 - 595
  • [7] Modeling Transport Regulation in Gene Regulatory Networks
    Fox, Erika
    Cummins, Bree
    Duncan, William
    Gedeon, Tomas
    BULLETIN OF MATHEMATICAL BIOLOGY, 2022, 84 (08)
  • [8] Inferring gene regulatory networks by thermodynamic modeling
    Chen, Chieh-Chun
    Zhong, Sheng
    BMC GENOMICS, 2008, 9 (Suppl 2)
  • [9] Inferring gene regulatory networks by thermodynamic modeling
    Chieh-Chun Chen
    Sheng Zhong
    BMC Genomics, 9
  • [10] An Optimal Boolean Approach for Computational Modeling of Gene Regulatory Networks from Temporal Gene Expression Profile
    Razmi F.
    Rowhanimanesh A.
    Dideban A.
    International Journal of Engineering, Transactions B: Applications, 2022, 35 (03): : 604 - 612