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Items: 1 to 20 of 118

1.

An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.

Valentini G, Paccanaro A, Caniza H, Romero AE, Re M.

Artif Intell Med. 2014 Jun;61(2):63-78. doi: 10.1016/j.artmed.2014.03.003. Epub 2014 Mar 20.

2.

Cancer module genes ranking using kernelized score functions.

Re M, Valentini G.

BMC Bioinformatics. 2012;13 Suppl 14:S3. doi: 10.1186/1471-2105-13-S14-S3. Epub 2012 Sep 7.

3.

Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model.

Ni J, Koyuturk M, Tong H, Haines J, Xu R, Zhang X.

BMC Bioinformatics. 2016 Nov 10;17(1):453.

4.

Gene2DisCo: Gene to disease using disease commonalities.

Frasca M.

Artif Intell Med. 2017 Oct;82:34-46. doi: 10.1016/j.artmed.2017.08.001. Epub 2017 Sep 4.

PMID:
28882544
5.

Interactogeneous: disease gene prioritization using heterogeneous networks and full topology scores.

Gonçalves JP, Francisco AP, Moreau Y, Madeira SC.

PLoS One. 2012;7(11):e49634. doi: 10.1371/journal.pone.0049634. Epub 2012 Nov 19.

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.

Network-based ranking methods for prediction of novel disease associated microRNAs.

Le DH.

Comput Biol Chem. 2015 Oct;58:139-48. doi: 10.1016/j.compbiolchem.2015.07.003. Epub 2015 Jul 21.

PMID:
26231308
8.

Candidate gene prioritization by network analysis of differential expression using machine learning approaches.

Nitsch D, Gonçalves JP, Ojeda F, de Moor B, Moreau Y.

BMC Bioinformatics. 2010 Sep 14;11:460. doi: 10.1186/1471-2105-11-460.

9.

A genome-wide MeSH-based literature mining system predicts implicit gene-to-gene relationships and networks.

Xiang Z, Qin T, Qin ZS, He Y.

BMC Syst Biol. 2013 Oct 16;7 Suppl 3:S9. doi: 10.1186/1752-0509-7-S3-S9.

10.

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;57:21-8. doi: 10.1016/j.compbiolchem.2015.02.008. Epub 2015 Feb 7.

PMID:
25736609
11.

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.

12.

A fast ranking algorithm for predicting gene functions in biomolecular networks.

Re M, Mesiti M, Valentini G.

IEEE/ACM Trans Comput Biol Bioinform. 2012 Nov-Dec;9(6):1812-8. doi: 10.1109/TCBB.2012.114.

13.

Disease gene identification by random walk on multigraphs merging heterogeneous genomic and phenotype data.

Li Y, Li J.

BMC Genomics. 2012;13 Suppl 7:S27. doi: 10.1186/1471-2164-13-S7-S27. Epub 2012 Dec 13.

14.

GPEC: a Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection.

Le DH, Kwon YK.

Comput Biol Chem. 2012 Apr;37:17-23. doi: 10.1016/j.compbiolchem.2012.02.004. Epub 2012 Mar 3.

PMID:
22430954
15.

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
16.

Pathway-Dependent Effectiveness of Network Algorithms for Gene Prioritization.

Shim JE, Hwang S, Lee I.

PLoS One. 2015 Jun 19;10(6):e0130589. doi: 10.1371/journal.pone.0130589. eCollection 2015.

18.

Gene prioritization for livestock diseases by data integration.

Jiang L, Sørensen P, Thomsen B, Edwards SM, Skarman A, Røntved CM, Lund MS, Workman CT.

Physiol Genomics. 2012 Mar 1;44(5):305-17. doi: 10.1152/physiolgenomics.00047.2011. Epub 2012 Jan 10.

PMID:
22234994
19.

Disease gene prioritization using network and feature.

Xie B, Agam G, Balasubramanian S, Xu J, Gilliam TC, Maltsev N, Börnigen D.

J Comput Biol. 2015 Apr;22(4):313-23. doi: 10.1089/cmb.2015.0001.

20.

Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining.

Yu S, Van Vooren S, Tranchevent LC, De Moor B, Moreau Y.

Bioinformatics. 2008 Aug 15;24(16):i119-25. doi: 10.1093/bioinformatics/btn291.

PMID:
18689812

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