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    Results: 1 to 20 of 188

    1.

    Mining protein networks for synthetic genetic interactions.

    Paladugu SR, Zhao S, Ray A, Raval A.

    BMC Bioinformatics. 2008 Oct 9;9:426.PMID: 18844977 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Finding friends and enemies in an enemies-only network: a graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions.

    Qi Y, Suhail Y, Lin YY, Boeke JD, Bader JS.

    Genome Res. 2008 Dec;18(12):1991-2004. Epub 2008 Oct 2.PMID: 18832443 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Genetic Interaction Motif Finding by expectation maximization--a novel statistical model for inferring gene modules from synthetic lethality.

    Qi Y, Ye P, Bader JS.

    BMC Bioinformatics. 2005 Dec 6;6:288.PMID: 16332255 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    Predicting genetic interactions with random walks on biological networks.

    Chipman KC, Singh AK.

    BMC Bioinformatics. 2009 Jan 12;10:17.PMID: 19138426 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    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]Related articlesFree article

    6.

    Mapping genetically compensatory pathways from synthetic lethal interactions in yeast.

    Ma X, Tarone AM, Li W.

    PLoS One. 2008 Apr 9;3(4):e1922.PMID: 18398455 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    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]Related articlesFree article

    8.

    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]Related articlesFree article

    9.

    PIPE: a protein-protein interaction prediction engine based on the re-occurring short polypeptide sequences between known interacting protein pairs.

    Pitre S, Dehne F, Chan A, Cheetham J, Duong A, Emili A, Gebbia M, Greenblatt J, Jessulat M, Krogan N, Luo X, Golshani A.

    BMC Bioinformatics. 2006 Jul 27;7:365.PMID: 16872538 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    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]Related articlesFree article

    11.

    Predicting co-complexed protein pairs using genomic and proteomic data integration.

    Zhang LV, Wong SL, King OD, Roth FP.

    BMC Bioinformatics. 2004 Apr 16;5:38.PMID: 15090078 [PubMed - indexed for MEDLINE]Related articlesFree article

    12.

    Generating confidence intervals on biological networks.

    Thorne T, Stumpf MP.

    BMC Bioinformatics. 2007 Nov 30;8:467.PMID: 18053130 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    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]Related articlesFree article

    14.

    Preferential protection of protein interaction network hubs in yeast: evolved functionality of genetic redundancy.

    Kafri R, Dahan O, Levy J, Pilpel Y.

    Proc Natl Acad Sci U S A. 2008 Jan 29;105(4):1243-8. Epub 2008 Jan 23.PMID: 18216251 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Improving protein function prediction methods with integrated literature data.

    Gabow AP, Leach SM, Baumgartner WA, Hunter LE, Goldberg DS.

    BMC Bioinformatics. 2008 Apr 15;9:198.PMID: 18412966 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    Significant conservation of synthetic lethal genetic interaction networks between distantly related eukaryotes.

    Dixon SJ, Fedyshyn Y, Koh JL, Prasad TS, Chahwan C, Chua G, Toufighi K, Baryshnikova A, Hayles J, Hoe KL, Kim DU, Park HO, Myers CL, Pandey A, Durocher D, Andrews BJ, Boone C.

    Proc Natl Acad Sci U S A. 2008 Oct 28;105(43):16653-8. Epub 2008 Oct 17.PMID: 18931302 [PubMed - indexed for MEDLINE]Related articlesFree article

    17.

    Understanding protein dispensability through machine-learning analysis of high-throughput data.

    Chen Y, Xu D.

    Bioinformatics. 2005 Mar 1;21(5):575-81. Epub 2004 Oct 12.PMID: 15479713 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    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.PMID: 18447957 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    Structure and evolution of protein interaction networks: a statistical model for link dynamics and gene duplications.

    Berg J, Lässig M, Wagner A.

    BMC Evol Biol. 2004 Nov 27;4(1):51.PMID: 15566577 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    Building and analysing genome-wide gene disruption networks.

    Rung J, Schlitt T, Brazma A, Freivalds K, Vilo J.

    Bioinformatics. 2002;18 Suppl 2:S202-10.PMID: 12386004 [PubMed - indexed for MEDLINE]Related articlesFree article

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