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Items 1 - 20 of 126
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1:

Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy.

Kim WK, Krumpelman C, Marcotte EM.

Genome Biol. 2008;9 Suppl 1:S5. Epub 2008 Jun 27.

PMID: 18613949 [PubMed - indexed for MEDLINE]

2:

A critical assessment of Mus musculus gene function prediction using integrated genomic evidence.

Peña-Castillo L, Tasan M, Myers CL, Lee H, Joshi T, Zhang C, Guan Y, Leone M, Pagnani A, Kim WK, Krumpelman C, Tian W, Obozinski G, Qi Y, Mostafavi S, Lin GN, Berriz GF, Gibbons FD, Lanckriet G, Qiu J, Grant C, Barutcuoglu Z, Hill DP, Warde-Farley D, Grouios C, Ray D, Blake JA, Deng M, Jordan MI, Noble WS, Morris Q, Klein-Seetharaman J, Bar-Joseph Z, Chen T, Sun F, Troyanskaya OG, Marcotte EM, Xu D, Hughes TR, Roth FP.

Genome Biol. 2008;9 Suppl 1:S2. Epub 2008 Jun 27.

PMID: 18613946 [PubMed - indexed for MEDLINE]

3:

Information theory applied to the sparse gene ontology annotation network to predict novel gene function.

Tao Y, Sam L, Li J, Friedman C, Lussier YA.

Bioinformatics. 2007 Jul 1;23(13):i529-38.

PMID: 17646340 [PubMed - indexed for MEDLINE]

4:

GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function.

Mostafavi S, Ray D, Warde-Farley D, Grouios C, Morris Q.

Genome Biol. 2008;9 Suppl 1:S4. Epub 2008 Jun 27.

PMID: 18613948 [PubMed - indexed for MEDLINE]

5:

A genomewide functional network for the laboratory mouse.

Guan Y, Myers CL, Lu R, Lemischka IR, Bult CJ, Troyanskaya OG.

PLoS Comput Biol. 2008 Sep 26;4(9):e1000165.

PMID: 18818725 [PubMed - indexed for MEDLINE]

6:

Predicting gene function in a hierarchical context with an ensemble of classifiers.

Guan Y, Myers CL, Hess DC, Barutcuoglu Z, Caudy AA, Troyanskaya OG.

Genome Biol. 2008;9 Suppl 1:S3. Epub 2008 Jun 27.

PMID: 18613947 [PubMed - indexed for MEDLINE]

7:

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]

8:

Combining guilt-by-association and guilt-by-profiling to predict Saccharomyces cerevisiae gene function.

Tian W, Zhang LV, Taşan M, Gibbons FD, King OD, Park J, Wunderlich Z, Cherry JM, Roth FP.

Genome Biol. 2008;9 Suppl 1:S7. Epub 2008 Jun 27.

PMID: 18613951 [PubMed - indexed for MEDLINE]

9:

Mining phenotypes for gene function prediction.

Groth P, Weiss B, Pohlenz HD, Leser U.

BMC Bioinformatics. 2008 Mar 3;9:136.

PMID: 18315868 [PubMed - indexed for MEDLINE]

10:

Meta-analysis approach identifies candidate genes and associated molecular networks for type-2 diabetes mellitus.

Rasche A, Al-Hasani H, Herwig R.

BMC Genomics. 2008 Jun 30;9:310.

PMID: 18590522 [PubMed - indexed for MEDLINE]

11:

The mouse genome database (MGD): new features facilitating a model system.

Eppig JT, Blake JA, Bult CJ, Kadin JA, Richardson JE; Mouse Genome Database Group.

Nucleic Acids Res. 2007 Jan;35(Database issue):D630-7. Epub 2006 Nov 29.

PMID: 17135206 [PubMed - indexed for MEDLINE]

12:

The functional landscape of mouse gene expression.

Zhang W, Morris QD, Chang R, Shai O, Bakowski MA, Mitsakakis N, Mohammad N, Robinson MD, Zirngibl R, Somogyi E, Laurin N, Eftekharpour E, Sat E, Grigull J, Pan Q, Peng WT, Krogan N, Greenblatt J, Fehlings M, van der Kooy D, Aubin J, Bruneau BG, Rossant J, Blencowe BJ, Frey BJ, Hughes TR.

J Biol. 2004;3(5):21. Epub 2004 Dec 6.

PMID: 15588312 [PubMed - indexed for MEDLINE]

13:

Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data.

Wang H, Zheng H, Simpson D, Azuaje F.

BMC Bioinformatics. 2006 Mar 8;7:116.

PMID: 16524483 [PubMed - indexed for MEDLINE]

14:

Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome.

Ramani AK, Bunescu RC, Mooney RJ, Marcotte EM.

Genome Biol. 2005;6(5):R40. Epub 2005 Apr 15.

PMID: 15892868 [PubMed - indexed for MEDLINE]

15:

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.

PMID: 18796161 [PubMed - indexed for MEDLINE]

16:

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 [PubMed - indexed for MEDLINE]

17:

Combining classifiers to predict gene function in Arabidopsis thaliana using large-scale gene expression measurements.

Lan H, Carson R, Provart NJ, Bonner AJ.

BMC Bioinformatics. 2007 Sep 21;8:358.

PMID: 17888165 [PubMed - indexed for MEDLINE]

18:

Inferring gene transcriptional modulatory relations: a genetical genomics approach.

Li H, Lu L, Manly KF, Chesler EJ, Bao L, Wang J, Zhou M, Williams RW, Cui Y.

Hum Mol Genet. 2005 May 1;14(9):1119-25. Epub 2005 Mar 16.

PMID: 15772094 [PubMed - indexed for MEDLINE]

20:

Text mining biomedical literature for discovering gene-to-gene relationships: a comparative study of algorithms.

Liu Y, Navathe SB, Civera J, Dasigi V, Ram A, Ciliax BJ, Dingledine R.

IEEE/ACM Trans Comput Biol Bioinform. 2005 Jan-Mar;2(1):62-76.

PMID: 17044165 [PubMed - indexed for MEDLINE]

Items 1 - 20 of 126
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