Extraction of genetic networks (GN) using static Bayesian belief networks from genome-wide temporal microarray data

被引:0
|
作者
不详
机构
来源
BMC BIOINFORMATICS | 2005年 / 6卷
关键词
D O I
暂无
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
引用
收藏
页数:1
相关论文
共 50 条
  • [1] Extraction of Genetic Networks (GN) Using Static Bayesian Belief Networks From Genome-Wide Temporal Microarray Data
    Judit Kumuthini
    [J]. BMC Bioinformatics, 6 (Suppl 3)
  • [2] Identifying Genetic Interactions in Genome-Wide Data Using Bayesian Networks
    Jiang, Xia
    Barmada, M. Michael
    Visweswaran, Shyam
    [J]. GENETIC EPIDEMIOLOGY, 2010, 34 (06) : 575 - 581
  • [3] Seeded Bayesian Networks: Constructing genetic networks from microarray data
    Djebbari, Amira
    Quackenbush, John
    [J]. BMC SYSTEMS BIOLOGY, 2008, 2
  • [4] Bayesian inference of genetic regulatory networks from time series microarray data using dynamic Bayesian networks
    Huang, Yufei
    Wang, Jianyin
    Zhang, Jianqiu
    Sanchez, Maribel
    Wang, Yufeng
    [J]. Journal of Multimedia, 2007, 2 (03): : 46 - 56
  • [5] Identifying in vivo pathways using genome-wide genetic networks
    Gray, J. V.
    Krause, S. A.
    [J]. BIOCHEMICAL SOCIETY TRANSACTIONS, 2007, 35 : 1538 - 1541
  • [6] Using Bayesian Networks to Construct Gene Regulatory Networks from Microarray Data
    Kung, Tan Ai
    Mohamad, Mohd Saberi
    [J]. JURNAL TEKNOLOGI, 2012, 58
  • [7] An Empirical Bayesian Method for Estimating Biological Networks from Temporal Microarray Data
    Rau, Andrea
    Jaffrezic, Florence
    Foulley, Jean-Louis
    Doerge, Rebecca W.
    [J]. STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 2010, 9 (01)
  • [8] A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
    Elisabetta Sauta
    Andrea Demartini
    Francesca Vitali
    Alberto Riva
    Riccardo Bellazzi
    [J]. BMC Bioinformatics, 21
  • [9] A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
    Sauta, Elisabetta
    Demartini, Andrea
    Vitali, Francesca
    Riva, Alberto
    Bellazzi, Riccardo
    [J]. BMC BIOINFORMATICS, 2020, 21 (01)
  • [10] Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies
    Mourad, Raphael
    Sinoquet, Christine
    Leray, Philippe
    [J]. COMPSTAT'2010: 19TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STATISTICS, 2010, : 549 - 556