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PUBMED FOR HANDHELDS

Journal Abstract Search


150 related items for PubMed ID: 16374912

  • 21.
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  • 22. 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. PubMed ID: 19272921
    [Abstract] [Full Text] [Related]

  • 23. Modularized learning of genetic interaction networks from biological annotations and mRNA expression data.
    Lee PH, Lee D.
    Bioinformatics; 2005 Jun 01; 21(11):2739-47. PubMed ID: 15797909
    [Abstract] [Full Text] [Related]

  • 24. Characterization of degree frequency distribution in protein interaction networks.
    Romano SA, Eguia MC.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2005 Mar 01; 71(3 Pt 1):031901. PubMed ID: 15903453
    [Abstract] [Full Text] [Related]

  • 25. Connectivity and expression in protein networks: proteins in a complex are uniformly expressed.
    Carmi S, Levanon EY, Havlin S, Eisenberg E.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Mar 01; 73(3 Pt 1):031909. PubMed ID: 16605560
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  • 27. Building and analysing genome-wide gene disruption networks.
    Rung J, Schlitt T, Brazma A, Freivalds K, Vilo J.
    Bioinformatics; 2002 Mar 01; 18 Suppl 2():S202-10. PubMed ID: 12386004
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  • 31. Combining microarrays and biological knowledge for estimating gene networks via Bayesian networks.
    Imoto S, Higuchi T, Goto T, Tashiro K, Kuhara S, Miyano S.
    Proc IEEE Comput Soc Bioinform Conf; 2003 Mar 01; 2():104-13. PubMed ID: 16452784
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  • 32.
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  • 33. A latent variable model for chemogenomic profiling.
    Flaherty P, Giaever G, Kumm J, Jordan MI, Arkin AP.
    Bioinformatics; 2005 Aug 01; 21(15):3286-93. PubMed ID: 15919724
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  • 34.
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  • 36. Reconstructing genetic networks in yeast.
    Zhang Z, Gerstein M.
    Nat Biotechnol; 2003 Nov 01; 21(11):1295-7. PubMed ID: 14595359
    [No Abstract] [Full Text] [Related]

  • 37. Protein network inference from multiple genomic data: a supervised approach.
    Yamanishi Y, Vert JP, Kanehisa M.
    Bioinformatics; 2004 Aug 04; 20 Suppl 1():i363-70. PubMed ID: 15262821
    [Abstract] [Full Text] [Related]

  • 38. Learning yeast gene functions from heterogeneous sources of data using hybrid weighted Bayesian networks.
    Deng X, Geng H, Ali H.
    Proc IEEE Comput Syst Bioinform Conf; 2005 Aug 04; ():25-34. PubMed ID: 16447959
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