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Journal Abstract Search
158 related items for PubMed ID: 19010805
21. A co-module approach for elucidating drug-disease associations and revealing their molecular basis. Zhao S, Li S. Bioinformatics; 2012 Apr 01; 28(7):955-61. PubMed ID: 22285830 [Abstract] [Full Text] [Related]
22. Exploring phenotype-associated modules in an oral cavity tumor using an integrated framework. Sun Z, Luo J, Zhou Y, Luo J, Liu K, Li W. Bioinformatics; 2009 Mar 15; 25(6):795-800. PubMed ID: 19181684 [Abstract] [Full Text] [Related]
24. Constructing tissue-specific transcriptional regulatory networks via a Markov random field. Ma S, Jiang T, Jiang R. BMC Genomics; 2018 Dec 31; 19(Suppl 10):884. PubMed ID: 30598101 [Abstract] [Full Text] [Related]
25. rs224136 on chromosome 10q21.1 and variants in PHOX2B, NCF4, and FAM92B are not major genetic risk factors for susceptibility to Crohn's disease in the German population. Glas J, Seiderer J, Pasciuto G, Tillack C, Diegelmann J, Pfennig S, Konrad A, Schmechel S, Wetzke M, Török HP, Stallhofer J, Jürgens M, Griga T, Klein W, Epplen JT, Schiemann U, Mussack T, Lohse P, Göke B, Ochsenkühn T, Folwaczny M, Müller-Myhsok B, Brand S. Am J Gastroenterol; 2009 Mar 31; 104(3):665-72. PubMed ID: 19262523 [Abstract] [Full Text] [Related]
26. List-decoding methods for inferring polynomials in finite dynamical gene network models. Dingel J, Milenkovic O. Bioinformatics; 2009 Jul 01; 25(13):1686-93. PubMed ID: 19401400 [Abstract] [Full Text] [Related]
28. Pathway networks generated from human disease phenome. Cirincione AG, Clark KL, Kann MG. BMC Med Genomics; 2018 Sep 14; 11(Suppl 3):75. PubMed ID: 30255817 [Abstract] [Full Text] [Related]
29. Phenome-driven disease genetics prediction toward drug discovery. Chen Y, Li L, Zhang GQ, Xu R. Bioinformatics; 2015 Jun 15; 31(12):i276-83. PubMed ID: 26072493 [Abstract] [Full Text] [Related]
30. Module networks revisited: computational assessment and prioritization of model predictions. Joshi A, De Smet R, Marchal K, Van de Peer Y, Michoel T. Bioinformatics; 2009 Feb 15; 25(4):490-6. PubMed ID: 19136553 [Abstract] [Full Text] [Related]
32. The Cartographers toolbox: building bigger and better human protein interaction networks. Sanderson CM. Brief Funct Genomic Proteomic; 2009 Jan 15; 8(1):1-11. PubMed ID: 19282470 [Abstract] [Full Text] [Related]
34. Walking on multiple disease-gene networks to prioritize candidate genes. Jiang R. J Mol Cell Biol; 2015 Jun 15; 7(3):214-30. PubMed ID: 25681405 [Abstract] [Full Text] [Related]
35. Analysis of human disease genes in the context of gene essentiality. Park D, Park J, Park SG, Park T, Choi SS. Genomics; 2008 Dec 15; 92(6):414-8. PubMed ID: 18786629 [Abstract] [Full Text] [Related]
36. Uncover disease genes by maximizing information flow in the phenome-interactome network. Chen Y, Jiang T, Jiang R. Bioinformatics; 2011 Jul 01; 27(13):i167-76. PubMed ID: 21685067 [Abstract] [Full Text] [Related]
38. A tutorial in genetic epidemiology and some considerations in statistical modeling. Suárez E, Sariol CA, Burguete A, Mclachlan G. P R Health Sci J; 2007 Dec 01; 26(4):401-21. PubMed ID: 18246969 [Abstract] [Full Text] [Related]
40. Laplacian normalization and random walk on heterogeneous networks for disease-gene prioritization. Zhao ZQ, Han GS, Yu ZG, Li J. Comput Biol Chem; 2015 Aug 01; 57():21-8. PubMed ID: 25736609 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]