348 related articles for article (PubMed ID: 16845143)
1. Inferring gene regulatory networks from time series data using the minimum description length principle.
Zhao W; Serpedin E; Dougherty ER
Bioinformatics; 2006 Sep; 22(17):2129-35. PubMed ID: 16845143
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Boolean dynamics of genetic regulatory networks inferred from microarray time series data.
Martin S; Zhang Z; Martino A; Faulon JL
Bioinformatics; 2007 Apr; 23(7):866-74. PubMed ID: 17267426
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Ensemble learning of genetic networks from time-series expression data.
Nam D; Yoon SH; Kim JF
Bioinformatics; 2007 Dec; 23(23):3225-31. PubMed ID: 17977884
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Gene network inference from incomplete expression data: transcriptional control of hematopoietic commitment.
Missal K; Cross MA; Drasdo D
Bioinformatics; 2006 Mar; 22(6):731-8. PubMed ID: 16332705
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Comparing association network algorithms for reverse engineering of large-scale gene regulatory networks: synthetic versus real data.
Soranzo N; Bianconi G; Altafini C
Bioinformatics; 2007 Jul; 23(13):1640-7. PubMed ID: 17485431
[TBL] [Abstract][Full Text] [Related]
10. Learning regulatory programs that accurately predict differential expression with MEDUSA.
Kundaje A; Lianoglou S; Li X; Quigley D; Arias M; Wiggins CH; Zhang L; Leslie C
Ann N Y Acad Sci; 2007 Dec; 1115():178-202. PubMed ID: 17934055
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Reverse engineering of dynamic networks.
Stigler B; Jarrah A; Stillman M; Laubenbacher R
Ann N Y Acad Sci; 2007 Dec; 1115():168-77. PubMed ID: 17925347
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Using a state-space model with hidden variables to infer transcription factor activities.
Li Z; Shaw SM; Yedwabnick MJ; Chan C
Bioinformatics; 2006 Mar; 22(6):747-54. PubMed ID: 16403793
[TBL] [Abstract][Full Text] [Related]
16. Inferring pairwise regulatory relationships from multiple time series datasets.
Shi Y; Mitchell T; Bar-Joseph Z
Bioinformatics; 2007 Mar; 23(6):755-63. PubMed ID: 17237067
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Precedence Temporal Networks to represent temporal relationships in gene expression data.
Sacchi L; Larizza C; Magni P; Bellazzi R
J Biomed Inform; 2007 Dec; 40(6):761-74. PubMed ID: 17644489
[TBL] [Abstract][Full Text] [Related]
19. Increasing feasibility of optimal gene network estimation.
Hansen A; Ott S; Koentges G
Genome Inform; 2004; 15(2):141-50. PubMed ID: 15706500
[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]