275 related articles for article (PubMed ID: 15319259)
1. A method for estimating stochastic noise in large genetic regulatory networks.
Orrell D; Ramsey S; de Atauri P; Bolouri H
Bioinformatics; 2005 Jan; 21(2):208-17. PubMed ID: 15319259
[TBL] [Abstract][Full Text] [Related]
2. A stochastic differential equation model for quantifying transcriptional regulatory network in Saccharomyces cerevisiae.
Chen KC; Wang TY; Tseng HH; Huang CY; Kao CY
Bioinformatics; 2005 Jun; 21(12):2883-90. PubMed ID: 15802287
[TBL] [Abstract][Full Text] [Related]
3. Probabilistic representation of gene regulatory networks.
Mao L; Resat H
Bioinformatics; 2004 Sep; 20(14):2258-69. PubMed ID: 15073019
[TBL] [Abstract][Full Text] [Related]
4. Statistical inference of transcriptional module-based gene networks from time course gene expression profiles by using state space models.
Hirose O; Yoshida R; Imoto S; Yamaguchi R; Higuchi T; Charnock-Jones DS; Print C; Miyano S
Bioinformatics; 2008 Apr; 24(7):932-42. PubMed ID: 18292116
[TBL] [Abstract][Full Text] [Related]
5. On the attenuation and amplification of molecular noise in genetic regulatory networks.
Chen BS; Wang YC
BMC Bioinformatics; 2006 Feb; 7():52. PubMed ID: 16457708
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
Scott M; Ingalls B; Kaern M
Chaos; 2006 Jun; 16(2):026107. PubMed ID: 16822039
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A Gibbs sampler for the identification of gene expression and network connectivity consistency.
Brynildsen MP; Tran LM; Liao JC
Bioinformatics; 2006 Dec; 22(24):3040-6. PubMed ID: 17060361
[TBL] [Abstract][Full Text] [Related]
10. The effect of negative feedback on noise propagation in transcriptional gene networks.
Hooshangi S; Weiss R
Chaos; 2006 Jun; 16(2):026108. PubMed ID: 16822040
[TBL] [Abstract][Full Text] [Related]
11. Reconstructing biological networks using conditional correlation analysis.
Rice JJ; Tu Y; Stolovitzky G
Bioinformatics; 2005 Mar; 21(6):765-73. PubMed ID: 15486043
[TBL] [Abstract][Full Text] [Related]
12. Stochastic and delayed stochastic models of gene expression and regulation.
Ribeiro AS
Math Biosci; 2010 Jan; 223(1):1-11. PubMed ID: 19883665
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.
Werhli AV; Grzegorczyk M; Husmeier D
Bioinformatics; 2006 Oct; 22(20):2523-31. PubMed ID: 16844710
[TBL] [Abstract][Full Text] [Related]
15. Stochastic dynamic modeling of short gene expression time-series data.
Wang Z; Yang F; Ho DW; Swift S; Tucker A; Liu X
IEEE Trans Nanobioscience; 2008 Mar; 7(1):44-55. PubMed ID: 18334455
[TBL] [Abstract][Full Text] [Related]
16. Studying genetic regulatory networks at the molecular level: delayed reaction stochastic models.
Zhu R; Ribeiro AS; Salahub D; Kauffman SA
J Theor Biol; 2007 Jun; 246(4):725-45. PubMed ID: 17350653
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference.
Quach M; Brunel N; d'Alché-Buc F
Bioinformatics; 2007 Dec; 23(23):3209-16. PubMed ID: 18042557
[TBL] [Abstract][Full Text] [Related]
19. Stochastic P systems and the simulation of biochemical processes with dynamic compartments.
Spicher A; Michel O; Cieslak M; Giavitto JL; Prusinkiewicz P
Biosystems; 2008 Mar; 91(3):458-72. PubMed ID: 17728055
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]