265 related articles for article (PubMed ID: 20650703)
1. Estimating sparse gene regulatory networks using a bayesian linear regression.
Sarder P; Schierding W; Cobb JP; Nehorai A
IEEE Trans Nanobioscience; 2010 Jun; 9(2):121-31. PubMed ID: 20650703
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Learning gene regulatory networks from gene expression measurements using non-parametric molecular kinetics.
Aijö T; Lähdesmäki H
Bioinformatics; 2009 Nov; 25(22):2937-44. PubMed ID: 19706742
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Fast calculation of pairwise mutual information for gene regulatory network reconstruction.
Qiu P; Gentles AJ; Plevritis SK
Comput Methods Programs Biomed; 2009 May; 94(2):177-80. PubMed ID: 19167129
[TBL] [Abstract][Full Text] [Related]
6. Gene regulatory network clustering for graph layout based on microarray gene expression data.
Kojima K; Imoto S; Nagasaki M; Miyano S
Genome Inform; 2010; 24():84-95. PubMed ID: 22081591
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Identifying drug active pathways from gene networks estimated by gene expression data.
Tamada Y; Imoto S; Tashiro K; Kuhara S; Miyano S
Genome Inform; 2005; 16(1):182-91. PubMed ID: 16362921
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Bayesian sparse hidden components analysis for transcription regulation networks.
Sabatti C; James GM
Bioinformatics; 2006 Mar; 22(6):739-46. PubMed ID: 16368767
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Superiority of network motifs over optimal networks and an application to the revelation of gene network evolution.
Ott S; Hansen A; Kim SY; Miyano S
Bioinformatics; 2005 Jan; 21(2):227-38. PubMed ID: 15377501
[TBL] [Abstract][Full Text] [Related]
14. Analysis of gene networks for drug target discovery and validation.
Imoto S; Tamada Y; Savoie CJ; Miyano S
Methods Mol Biol; 2007; 360():33-56. PubMed ID: 17172724
[TBL] [Abstract][Full Text] [Related]
15. Bayesian learning of sparse gene regulatory networks.
Chan ZS; Collins L; Kasabov N
Biosystems; 2007 Feb; 87(2-3):299-306. PubMed ID: 17223483
[TBL] [Abstract][Full Text] [Related]
16. Inferring gene regulatory networks from multiple microarray datasets.
Wang Y; Joshi T; Zhang XS; Xu D; Chen L
Bioinformatics; 2006 Oct; 22(19):2413-20. PubMed ID: 16864593
[TBL] [Abstract][Full Text] [Related]
17. Computational methods for discovering gene networks from expression data.
Lee WP; Tzou WS
Brief Bioinform; 2009 Jul; 10(4):408-23. PubMed ID: 19505889
[TBL] [Abstract][Full Text] [Related]
18. Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets.
Steele E; Tucker A
J Biomed Inform; 2008 Dec; 41(6):914-26. PubMed ID: 18337190
[TBL] [Abstract][Full Text] [Related]
19. A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.
Beal MJ; Falciani F; Ghahramani Z; Rangel C; Wild DL
Bioinformatics; 2005 Feb; 21(3):349-56. PubMed ID: 15353451
[TBL] [Abstract][Full Text] [Related]
20. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method.
Fujita A; Sato JR; Garay-Malpartida HM; Morettin PA; Sogayar MC; Ferreira CE
Bioinformatics; 2007 Jul; 23(13):1623-30. PubMed ID: 17463021
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
