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Journal Abstract Search
292 related items for PubMed ID: 18400771
21. 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]
22. 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 01; 1115():178-202. PubMed ID: 17934055 [Abstract] [Full Text] [Related]
23. LICORN: learning cooperative regulation networks from gene expression data. Elati M, Neuvial P, Bolotin-Fukuhara M, Barillot E, Radvanyi F, Rouveirol C. Bioinformatics; 2007 Sep 15; 23(18):2407-14. PubMed ID: 17720703 [Abstract] [Full Text] [Related]
24. Inferring gene regulatory networks from time series data using the minimum description length principle. Zhao W, Serpedin E, Dougherty ER. Bioinformatics; 2006 Sep 01; 22(17):2129-35. PubMed ID: 16845143 [Abstract] [Full Text] [Related]
25. Precedence Temporal Networks to represent temporal relationships in gene expression data. Sacchi L, Larizza C, Magni P, Bellazzi R. J Biomed Inform; 2007 Dec 01; 40(6):761-74. PubMed ID: 17644489 [Abstract] [Full Text] [Related]
26. Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Yu T, Li KC. Bioinformatics; 2005 Nov 01; 21(21):4033-8. PubMed ID: 16144806 [Abstract] [Full Text] [Related]
27. Inferring functional pathways from multi-perturbation data. Yosef N, Kaufman A, Ruppin E. Bioinformatics; 2006 Jul 15; 22(14):e539-46. PubMed ID: 16873518 [Abstract] [Full Text] [Related]
28. 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]
29. A meta-data based method for DNA microarray imputation. Jörnsten R, Ouyang M, Wang HY. BMC Bioinformatics; 2007 Mar 29; 8():109. PubMed ID: 17394658 [Abstract] [Full Text] [Related]
30. Constructing biological networks through combined literature mining and microarray analysis: a LMMA approach. Li S, Wu L, Zhang Z. Bioinformatics; 2006 Sep 01; 22(17):2143-50. PubMed ID: 16820422 [Abstract] [Full Text] [Related]
31. Theoretical and computational studies of the glucose signaling pathways in yeast using global gene expression data. Lin X, Floudas CA, Wang Y, Broach JR. Biotechnol Bioeng; 2003 Dec 30; 84(7):864-86. PubMed ID: 14708127 [Abstract] [Full Text] [Related]
32. Reverse engineering of dynamic networks. Stigler B, Jarrah A, Stillman M, Laubenbacher R. Ann N Y Acad Sci; 2007 Dec 30; 1115():168-77. PubMed ID: 17925347 [Abstract] [Full Text] [Related]
33. Validating module network learning algorithms using simulated data. Michoel T, Maere S, Bonnet E, Joshi A, Saeys Y, Van den Bulcke T, Van Leemput K, van Remortel P, Kuiper M, Marchal K, Van de Peer Y. BMC Bioinformatics; 2007 May 03; 8 Suppl 2(Suppl 2):S5. PubMed ID: 17493254 [Abstract] [Full Text] [Related]
34. 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]
35. A control study to evaluate a computer-based microarray experiment design recommendation system for gene-regulation pathways discovery. Yoo C, Cooper GF, Schmidt M. J Biomed Inform; 2006 Apr 22; 39(2):126-46. PubMed ID: 16203178 [Abstract] [Full Text] [Related]
36. Generating Boolean networks with a prescribed attractor structure. Pal R, Ivanov I, Datta A, Bittner ML, Dougherty ER. Bioinformatics; 2005 Nov 01; 21(21):4021-5. PubMed ID: 16150807 [Abstract] [Full Text] [Related]
37. Gene regulatory network inference: data integration in dynamic models-a review. Hecker M, Lambeck S, Toepfer S, van Someren E, Guthke R. Biosystems; 2009 Apr 01; 96(1):86-103. PubMed ID: 19150482 [Abstract] [Full Text] [Related]
38. Reconstruction of metabolic networks from high-throughput metabolite profiling data: in silico analysis of red blood cell metabolism. Nemenman I, Escola GS, Hlavacek WS, Unkefer PJ, Unkefer CJ, Wall ME. Ann N Y Acad Sci; 2007 Dec 01; 1115():102-15. PubMed ID: 17925356 [Abstract] [Full Text] [Related]
39. SPINE: a framework for signaling-regulatory pathway inference from cause-effect experiments. Ourfali O, Shlomi T, Ideker T, Ruppin E, Sharan R. Bioinformatics; 2007 Jul 01; 23(13):i359-66. PubMed ID: 17646318 [Abstract] [Full Text] [Related]