516 related articles for article (PubMed ID: 22850067)
1. A non-homogeneous dynamic Bayesian network with sequentially coupled interaction parameters for applications in systems and synthetic biology.
Grzegorczyk M; Husmeier D
Stat Appl Genet Mol Biol; 2012 Jul; 11(4):. PubMed ID: 22850067
[TBL] [Abstract][Full Text] [Related]
2. Nonhomogeneous dynamic Bayesian networks in systems biology.
Lèbre S; Dondelinger F; Husmeier D
Methods Mol Biol; 2012; 802():199-213. PubMed ID: 22130882
[TBL] [Abstract][Full Text] [Related]
3. Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes.
Grzegorczyk M; Husmeier D
Bioinformatics; 2011 Mar; 27(5):693-9. PubMed ID: 21177328
[TBL] [Abstract][Full Text] [Related]
4. Inference of gene regulatory networks by means of dynamic differential Bayesian networks and nonparametric regression.
Sugimoto N; Iba H
Genome Inform; 2004; 15(2):121-30. PubMed ID: 15706498
[TBL] [Abstract][Full Text] [Related]
5. A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data.
Zou M; Conzen SD
Bioinformatics; 2005 Jan; 21(1):71-9. PubMed ID: 15308537
[TBL] [Abstract][Full Text] [Related]
6. Inferring gene networks from time series microarray data using dynamic Bayesian networks.
Kim SY; Imoto S; Miyano S
Brief Bioinform; 2003 Sep; 4(3):228-35. PubMed ID: 14582517
[TBL] [Abstract][Full Text] [Related]
7. Benchmarking of dynamic Bayesian networks inferred from stochastic time-series data.
David LA; Wiggins CH
Ann N Y Acad Sci; 2007 Dec; 1115():90-101. PubMed ID: 17925346
[TBL] [Abstract][Full Text] [Related]
8. Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data.
Shimamura T; Imoto S; Yamaguchi R; Miyano S
Genome Inform; 2007; 19():142-53. PubMed ID: 18546512
[TBL] [Abstract][Full Text] [Related]
9. Statistical Network Inference for Time-Varying Molecular Data with Dynamic Bayesian Networks.
Dondelinger F; Mukherjee S
Methods Mol Biol; 2019; 1883():25-48. PubMed ID: 30547395
[TBL] [Abstract][Full Text] [Related]
10. Quantitative inference of dynamic regulatory pathways via microarray data.
Chang WC; Li CW; Chen BS
BMC Bioinformatics; 2005 Mar; 6():44. PubMed ID: 15748298
[TBL] [Abstract][Full Text] [Related]
11. A sub-space greedy search method for efficient Bayesian Network inference.
Zhang Q; Cao Y; Li Y; Zhu Y; Sun SS; Guo D
Comput Biol Med; 2011 Sep; 41(9):763-70. PubMed ID: 21741635
[TBL] [Abstract][Full Text] [Related]
12. Gene expression complex networks: synthesis, identification, and analysis.
Lopes FM; Cesar RM; Costa Lda F
J Comput Biol; 2011 Oct; 18(10):1353-67. PubMed ID: 21548810
[TBL] [Abstract][Full Text] [Related]
13. Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data.
Kim S; Imoto S; Miyano S
Biosystems; 2004 Jul; 75(1-3):57-65. PubMed ID: 15245804
[TBL] [Abstract][Full Text] [Related]
14. A hybrid Bayesian network learning method for constructing gene networks.
Wang M; Chen Z; Cloutier S
Comput Biol Chem; 2007 Oct; 31(5-6):361-72. PubMed ID: 17889617
[TBL] [Abstract][Full Text] [Related]
15. An empirical Bayesian method for estimating biological networks from temporal microarray data.
Rau A; Jaffrézic F; Foulley JL; Doerge RW
Stat Appl Genet Mol Biol; 2010; 9():Article 9. PubMed ID: 20196759
[TBL] [Abstract][Full Text] [Related]
16. Reconstruction of transcriptional network from microarray data using combined mutual information and network-assisted regression.
Wang XD; Qi YX; Jiang ZL
IET Syst Biol; 2011 Mar; 5(2):95-102. PubMed ID: 21405197
[TBL] [Abstract][Full Text] [Related]
17. Advances to Bayesian network inference for generating causal networks from observational biological data.
Yu J; Smith VA; Wang PP; Hartemink AJ; Jarvis ED
Bioinformatics; 2004 Dec; 20(18):3594-603. PubMed ID: 15284094
[TBL] [Abstract][Full Text] [Related]
18. Inferring Gene Regulatory Networks in the Arabidopsis Root Using a Dynamic Bayesian Network Approach.
de Luis Balaguer MA; Sozzani R
Methods Mol Biol; 2017; 1629():331-348. PubMed ID: 28623595
[TBL] [Abstract][Full Text] [Related]
19. Non-homogeneous dynamic Bayesian networks with edge-wise sequentially coupled parameters.
Shafiee Kamalabad M; Grzegorczyk M
Bioinformatics; 2020 Feb; 36(4):1198-1207. PubMed ID: 31504191
[TBL] [Abstract][Full Text] [Related]
20. A new multiple regression approach for the construction of genetic regulatory networks.
Zhang SQ; Ching WK; Tsing NK; Leung HY; Guo D
Artif Intell Med; 2010; 48(2-3):153-60. PubMed ID: 19963359
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
