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Results: 1 to 20 of 161

1.

WNP: a novel algorithm for gene products annotation from weighted functional networks.

Magi A, Tattini L, Benelli M, Giusti B, Abbate R, Ruffo S.

PLoS One. 2012;7(6):e38767. doi: 10.1371/journal.pone.0038767. Epub 2012 Jun 28.

PMID:
22761703
[PubMed - indexed for MEDLINE]
Free PMC Article
2.

AVID: an integrative framework for discovering functional relationships among proteins.

Jiang T, Keating AE.

BMC Bioinformatics. 2005 Jun 1;6:136.

PMID:
15929793
[PubMed - indexed for MEDLINE]
Free PMC Article
3.

Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction.

Stojanova D, Ceci M, Malerba D, Dzeroski S.

BMC Bioinformatics. 2013 Sep 26;14:285. doi: 10.1186/1471-2105-14-285.

PMID:
24070402
[PubMed - indexed for MEDLINE]
Free PMC Article
4.

Bayesian Markov Random Field analysis for protein function prediction based on network data.

Kourmpetis YA, van Dijk AD, Bink MC, van Ham RC, ter Braak CJ.

PLoS One. 2010 Feb 24;5(2):e9293. doi: 10.1371/journal.pone.0009293.

PMID:
20195360
[PubMed - indexed for MEDLINE]
Free PMC Article
5.

Modular biological function is most effectively captured by combining molecular interaction data types.

Ames RM, Macpherson JI, Pinney JW, Lovell SC, Robertson DL.

PLoS One. 2013 May 3;8(5):e62670. doi: 10.1371/journal.pone.0062670. Print 2013.

PMID:
23658761
[PubMed - indexed for MEDLINE]
Free PMC Article
6.

Filtering high-throughput protein-protein interaction data using a combination of genomic features.

Patil A, Nakamura H.

BMC Bioinformatics. 2005 Apr 18;6:100.

PMID:
15833142
[PubMed - indexed for MEDLINE]
Free PMC Article
7.

Functional annotation of hierarchical modularity.

Padmanabhan K, Wang K, Samatova NF.

PLoS One. 2012;7(4):e33744. doi: 10.1371/journal.pone.0033744. Epub 2012 Apr 4.

PMID:
22496762
[PubMed - indexed for MEDLINE]
Free PMC Article
8.

A fast hierarchical clustering algorithm for functional modules discovery in protein interaction networks.

Wang J, Li M, Chen J, Pan Y.

IEEE/ACM Trans Comput Biol Bioinform. 2011 May-Jun;8(3):607-20. doi: 10.1109/TCBB.2010.75.

PMID:
20733244
[PubMed - indexed for MEDLINE]
9.

Clustering proteins from interaction networks for the prediction of cellular functions.

Brun C, Herrmann C, Guénoche A.

BMC Bioinformatics. 2004 Jul 13;5:95.

PMID:
15251039
[PubMed - indexed for MEDLINE]
Free PMC Article
10.

A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae).

Troyanskaya OG, Dolinski K, Owen AB, Altman RB, Botstein D.

Proc Natl Acad Sci U S A. 2003 Jul 8;100(14):8348-53. Epub 2003 Jun 25.

PMID:
12826619
[PubMed - indexed for MEDLINE]
Free PMC Article
11.

Genome-wide computational function prediction of Arabidopsis proteins by integration of multiple data sources.

Kourmpetis YA, van Dijk AD, van Ham RC, ter Braak CJ.

Plant Physiol. 2011 Jan;155(1):271-81. doi: 10.1104/pp.110.162164. Epub 2010 Nov 22.

PMID:
21098674
[PubMed - indexed for MEDLINE]
Free PMC Article
12.

Modular analysis of the probabilistic genetic interaction network.

Hou L, Wang L, Qian M, Li D, Tang C, Zhu Y, Deng M, Li F.

Bioinformatics. 2011 Mar 15;27(6):853-9. doi: 10.1093/bioinformatics/btr031. Epub 2011 Jan 28.

PMID:
21278184
[PubMed - indexed for MEDLINE]
Free PMC Article
13.

False positive reduction in protein-protein interaction predictions using gene ontology annotations.

Mahdavi MA, Lin YH.

BMC Bioinformatics. 2007 Jul 23;8:262.

PMID:
17645798
[PubMed - indexed for MEDLINE]
Free PMC Article
14.

Integration of molecular network data reconstructs Gene Ontology.

Gligorijević V, Janjić V, Pržulj N.

Bioinformatics. 2014 Sep 1;30(17):i594-600. doi: 10.1093/bioinformatics/btu470.

PMID:
25161252
[PubMed - indexed for MEDLINE]
Free PMC Article
15.

Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data.

Gao S, Wang X.

BMC Bioinformatics. 2011 Aug 31;12:359. doi: 10.1186/1471-2105-12-359.

PMID:
21884587
[PubMed - indexed for MEDLINE]
Free PMC Article
16.

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.

PMID:
16762047
[PubMed - indexed for MEDLINE]
Free PMC Article
17.

Predicting protein function from protein/protein interaction data: a probabilistic approach.

Letovsky S, Kasif S.

Bioinformatics. 2003;19 Suppl 1:i197-204.

PMID:
12855458
[PubMed - indexed for MEDLINE]
Free Article
18.

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
[PubMed - indexed for MEDLINE]
19.

Growing functional modules from a seed protein via integration of protein interaction and gene expression data.

Maraziotis IA, Dimitrakopoulou K, Bezerianos A.

BMC Bioinformatics. 2007 Oct 23;8:408.

PMID:
17956603
[PubMed - indexed for MEDLINE]
Free PMC Article
20.

Combining multisource information through functional-annotation-based weighting: gene function prediction in yeast.

Ray SS, Bandyopadhyay S, Pal SK.

IEEE Trans Biomed Eng. 2009 Feb;56(2):229-36. doi: 10.1109/TBME.2008.2005955. Epub 2008 Sep 30.

PMID:
19272921
[PubMed - indexed for MEDLINE]

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