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Results: 1 to 20 of 119

Similar articles for PubMed (Select 19728875)

1.
2.

A copula method for modeling directional dependence of genes.

Kim JM, Jung YS, Sungur EA, Han KH, Park C, Sohn I.

BMC Bioinformatics. 2008 May 1;9:225. doi: 10.1186/1471-2105-9-225.

3.

Network legos: building blocks of cellular wiring diagrams.

Murali TM, Rivera CG.

J Comput Biol. 2008 Sep;15(7):829-44. doi: 10.1089/cmb.2007.0139.

PMID:
18707557
4.

Predicting functional associations from metabolism using bi-partite network algorithms.

Veeramani B, Bader JS.

BMC Syst Biol. 2010 Jul 14;4:95. doi: 10.1186/1752-0509-4-95.

5.

Accounting for redundancy when integrating gene interaction databases.

Elefsinioti A, Ackermann M, Beyer A.

PLoS One. 2009 Oct 22;4(10):e7492. doi: 10.1371/journal.pone.0007492.

6.

Information assessment on predicting protein-protein interactions.

Lin N, Wu B, Jansen R, Gerstein M, Zhao H.

BMC Bioinformatics. 2004 Oct 18;5:154.

7.

Combining functional and topological properties to identify core modules in protein interaction networks.

Lubovac Z, Gamalielsson J, Olsson B.

Proteins. 2006 Sep 1;64(4):948-59.

PMID:
16794996
8.

Globally predicting protein functions based on co-expressed protein-protein interaction networks and ontology taxonomy similarities.

Zhu M, Gao L, Guo Z, Li Y, Wang D, Wang J, Wang C.

Gene. 2007 Apr 15;391(1-2):113-9. Epub 2006 Dec 22.

PMID:
17289301
9.

Human gene coexpression landscape: confident network derived from tissue transcriptomic profiles.

Prieto C, Risueño A, Fontanillo C, De las Rivas J.

PLoS One. 2008;3(12):e3911. doi: 10.1371/journal.pone.0003911. Epub 2008 Dec 15.

10.

Estimating the parameters of a model for protein-protein interaction graphs.

Deshmukh V, Cannings C, Thomas A.

Math Med Biol. 2006 Dec;23(4):279-95. Epub 2006 Jul 20.

PMID:
16857705
11.

Comprehensive curation and analysis of global interaction networks in Saccharomyces cerevisiae.

Reguly T, Breitkreutz A, Boucher L, Breitkreutz BJ, Hon GC, Myers CL, Parsons A, Friesen H, Oughtred R, Tong A, Stark C, Ho Y, Botstein D, Andrews B, Boone C, Troyanskya OG, Ideker T, Dolinski K, Batada NN, Tyers M.

J Biol. 2006;5(4):11. Epub 2006 Jun 8.

12.

Generating realistic in silico gene networks for performance assessment of reverse engineering methods.

Marbach D, Schaffter T, Mattiussi C, Floreano D.

J Comput Biol. 2009 Feb;16(2):229-39. doi: 10.1089/cmb.2008.09TT.

PMID:
19183003
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The powerful law of the power law and other myths in network biology.

Lima-Mendez G, van Helden J.

Mol Biosyst. 2009 Dec;5(12):1482-93. doi: 10.1039/b908681a. Epub 2009 Oct 2. Review.

PMID:
20023717
16.

Spectral affinity in protein networks.

Voevodski K, Teng SH, Xia Y.

BMC Syst Biol. 2009 Nov 29;3:112. doi: 10.1186/1752-0509-3-112.

17.

The use of Gene Ontology terms for predicting highly-connected 'hub' nodes in protein-protein interaction networks.

Hsing M, Byler KG, Cherkasov A.

BMC Syst Biol. 2008 Sep 16;2:80. doi: 10.1186/1752-0509-2-80.

18.

The topology of the bacterial co-conserved protein network and its implications for predicting protein function.

Karimpour-Fard A, Leach SM, Hunter LE, Gill RT.

BMC Genomics. 2008 Jun 30;9:313. doi: 10.1186/1471-2164-9-313.

19.

Detection of locally over-represented GO terms in protein-protein interaction networks.

Lavallée-Adam M, Coulombe B, Blanchette M.

J Comput Biol. 2010 Mar;17(3):443-57. doi: 10.1089/cmb.2009.0165.

PMID:
20377456
20.

A multi-layered approach to protein data integration for diabetes research.

McGarry K, Chambers J, Oatley G.

Artif Intell Med. 2007 Oct;41(2):129-43. Epub 2007 Sep 14.

PMID:
17869073
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