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213 related items for PubMed ID: 17982169
1. Synthetic microarray data generation with RANGE and NEMO. Long J, Roth M. Bioinformatics; 2008 Jan 01; 24(1):132-4. PubMed ID: 17982169 [Abstract] [Full Text] [Related]
2. 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 15; 21(2):227-38. PubMed ID: 15377501 [Abstract] [Full Text] [Related]
3. A Gibbs sampler for the identification of gene expression and network connectivity consistency. Brynildsen MP, Tran LM, Liao JC. Bioinformatics; 2006 Dec 15; 22(24):3040-6. PubMed ID: 17060361 [Abstract] [Full Text] [Related]
4. 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 12; 20(18):3594-603. PubMed ID: 15284094 [Abstract] [Full Text] [Related]
5. Reconstructing biological networks using conditional correlation analysis. Rice JJ, Tu Y, Stolovitzky G. Bioinformatics; 2005 Mar 12; 21(6):765-73. PubMed ID: 15486043 [Abstract] [Full Text] [Related]
6. 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 01; 23(13):1640-7. PubMed ID: 17485431 [Abstract] [Full Text] [Related]
7. GenePro: a Cytoscape plug-in for advanced visualization and analysis of interaction networks. Vlasblom J, Wu S, Pu S, Superina M, Liu G, Orsi C, Wodak SJ. Bioinformatics; 2006 Sep 01; 22(17):2178-9. PubMed ID: 16921162 [Abstract] [Full Text] [Related]
8. 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 01; 23(13):1623-30. PubMed ID: 17463021 [Abstract] [Full Text] [Related]
9. Using a state-space model with hidden variables to infer transcription factor activities. Li Z, Shaw SM, Yedwabnick MJ, Chan C. Bioinformatics; 2006 Mar 15; 22(6):747-54. PubMed ID: 16403793 [Abstract] [Full Text] [Related]
10. Gene network inference from incomplete expression data: transcriptional control of hematopoietic commitment. Missal K, Cross MA, Drasdo D. Bioinformatics; 2006 Mar 15; 22(6):731-8. PubMed ID: 16332705 [Abstract] [Full Text] [Related]
11. Bayesian sparse hidden components analysis for transcription regulation networks. Sabatti C, James GM. Bioinformatics; 2006 Mar 15; 22(6):739-46. PubMed ID: 16368767 [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 01; 21(3):349-56. PubMed ID: 15353451 [Abstract] [Full Text] [Related]
13. Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data. Chang C, Ding Z, Hung YS, Fung PC. Bioinformatics; 2008 Jun 01; 24(11):1349-58. PubMed ID: 18400771 [Abstract] [Full Text] [Related]
14. Increasing feasibility of optimal gene network estimation. Hansen A, Ott S, Koentges G. Genome Inform; 2004 Jun 01; 15(2):141-50. PubMed ID: 15706500 [Abstract] [Full Text] [Related]
15. Bayesian modelling of shared gene function. Sykacek P, Clarkson R, Print C, Furlong R, Micklem G. Bioinformatics; 2007 Aug 01; 23(15):1936-44. PubMed ID: 17540682 [Abstract] [Full Text] [Related]
16. Probabilistic representation of gene regulatory networks. Mao L, Resat H. Bioinformatics; 2004 Sep 22; 20(14):2258-69. PubMed ID: 15073019 [Abstract] [Full Text] [Related]
17. A gene network simulator to assess reverse engineering algorithms. Di Camillo B, Toffolo G, Cobelli C. Ann N Y Acad Sci; 2009 Mar 22; 1158():125-42. PubMed ID: 19348638 [Abstract] [Full Text] [Related]
18. Robustness analysis and tuning of synthetic gene networks. Batt G, Yordanov B, Weiss R, Belta C. Bioinformatics; 2007 Sep 15; 23(18):2415-22. PubMed ID: 17660209 [Abstract] [Full Text] [Related]
19. Interpretation of ANOVA models for microarray data using PCA. de Haan JR, Wehrens R, Bauerschmidt S, Piek E, van Schaik RC, Buydens LM. Bioinformatics; 2007 Jan 15; 23(2):184-90. PubMed ID: 17105717 [Abstract] [Full Text] [Related]
20. The MGED Ontology: a resource for semantics-based description of microarray experiments. Whetzel PL, Parkinson H, Causton HC, Fan L, Fostel J, Fragoso G, Game L, Heiskanen M, Morrison N, Rocca-Serra P, Sansone SA, Taylor C, White J, Stoeckert CJ. Bioinformatics; 2006 Apr 01; 22(7):866-73. PubMed ID: 16428806 [Abstract] [Full Text] [Related] Page: [Next] [New Search]