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Items: 1 to 20 of 96

1.

Prioritizing disease candidate proteins in cardiomyopathy-specific protein-protein interaction networks based on "guilt by association" analysis.

Li W, Chen L, He W, Li W, Qu X, Liang B, Gao Q, Feng C, Jia X, Lv Y, Zhang S, Li X.

PLoS One. 2013 Aug 5;8(8):e71191. doi: 10.1371/journal.pone.0071191. Print 2013.

2.

Prioritization of candidate disease genes by enlarging the seed set and fusing information of the network topology and gene expression.

Zhang SW, Shao DD, Zhang SY, Wang YB.

Mol Biosyst. 2014 Jun;10(6):1400-8. doi: 10.1039/c3mb70588a. Epub 2014 Apr 3.

PMID:
24695957
3.

Vavien: an algorithm for prioritizing candidate disease genes based on topological similarity of proteins in interaction networks.

Erten S, Bebek G, Koyutürk M.

J Comput Biol. 2011 Nov;18(11):1561-74. doi: 10.1089/cmb.2011.0154. Epub 2011 Oct 28.

4.

Pivotal role of the muscle-contraction pathway in cryptorchidism and evidence for genomic connections with cardiomyopathy pathways in RASopathies.

Cannistraci CV, Ogorevc J, Zorc M, Ravasi T, Dovc P, Kunej T.

BMC Med Genomics. 2013 Feb 14;6:5. doi: 10.1186/1755-8794-6-5.

5.

Prioritizing candidate disease genes by network-based boosting of genome-wide association data.

Lee I, Blom UM, Wang PI, Shim JE, Marcotte EM.

Genome Res. 2011 Jul;21(7):1109-21. doi: 10.1101/gr.118992.110. Epub 2011 May 2.

6.

A random set scoring model for prioritization of disease candidate genes using protein complexes and data-mining of GeneRIF, OMIM and PubMed records.

Jiang L, Edwards SM, Thomsen B, Workman CT, Guldbrandtsen B, Sørensen P.

BMC Bioinformatics. 2014 Sep 24;15:315. doi: 10.1186/1471-2105-15-315.

7.

Exploiting protein-protein interaction networks for genome-wide disease-gene prioritization.

Guney E, Oliva B.

PLoS One. 2012;7(9):e43557. doi: 10.1371/journal.pone.0043557. Epub 2012 Sep 21.

8.
9.

A vertex similarity-based framework to discover and rank orphan disease-related genes.

Zhu C, Kushwaha A, Berman K, Jegga AG.

BMC Syst Biol. 2012;6 Suppl 3:S8. doi: 10.1186/1752-0509-6-S3-S8. Epub 2012 Dec 17.

10.

Inferring gene-phenotype associations via global protein complex network propagation.

Yang P, Li X, Wu M, Kwoh CK, Ng SK.

PLoS One. 2011;6(7):e21502. doi: 10.1371/journal.pone.0021502. Epub 2011 Jul 25.

11.

Mining proteins associated with oral squamous cell carcinoma in complex networks.

Liu Y, Liu CX, Wu ZT, Ge L, Zhou HM.

Asian Pac J Cancer Prev. 2013;14(8):4621-5.

12.

Inferring disease and gene set associations with rank coherence in networks.

Hwang T, Zhang W, Xie M, Liu J, Kuang R.

Bioinformatics. 2011 Oct 1;27(19):2692-9. doi: 10.1093/bioinformatics/btr463. Epub 2011 Aug 8.

PMID:
21824970
13.

Disease candidate gene identification and prioritization using protein interaction networks.

Chen J, Aronow BJ, Jegga AG.

BMC Bioinformatics. 2009 Feb 27;10:73. doi: 10.1186/1471-2105-10-73. Erratum in: BMC Bioinformatics. 2009;10:406.

14.

Exploring the pathogenetic association between schizophrenia and type 2 diabetes mellitus diseases based on pathway analysis.

Liu Y, Li Z, Zhang M, Deng Y, Yi Z, Shi T.

BMC Med Genomics. 2013;6 Suppl 1:S17. doi: 10.1186/1755-8794-6-S1-S17. Epub 2013 Jan 23.

15.

A computational method based on the integration of heterogeneous networks for predicting disease-gene associations.

Guo X, Gao L, Wei C, Yang X, Zhao Y, Dong A.

PLoS One. 2011;6(9):e24171. doi: 10.1371/journal.pone.0024171. Epub 2011 Sep 2.

16.
17.

NDRC: A Disease-Causing Genes Prioritized Method Based on Network Diffusion and Rank Concordance.

Fang M, Hu X, Wang Y, Zhao J, Shen X, He T.

IEEE Trans Nanobioscience. 2015 Jul;14(5):521-7. doi: 10.1109/TNB.2015.2443852. Epub 2015 Jun 12.

PMID:
26080386
18.

Network analysis of GWAS data.

Leiserson MD, Eldridge JV, Ramachandran S, Raphael BJ.

Curr Opin Genet Dev. 2013 Dec;23(6):602-10. doi: 10.1016/j.gde.2013.09.003. Epub 2013 Nov 26. Review.

19.

A novel candidate disease genes prioritization method based on module partition and rank fusion.

Chen X, Yan GY, Liao XP.

OMICS. 2010 Aug;14(4):337-56. doi: 10.1089/omi.2009.0143.

PMID:
20726795
20.

Systems biology analyses of gene expression and genome wide association study data in obstructive sleep apnea.

Liu Y, Patel S, Nibbe R, Maxwell S, Chowdhury SA, Koyuturk M, Zhu X, Larkin EK, Buxbaum SG, Punjabi NM, Gharib SA, Redline S, Chance MR.

Pac Symp Biocomput. 2011:14-25.

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