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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

368 related items for PubMed ID: 19789116

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  • 3. A new approach for modelling gene regulatory networks using fuzzy petri nets.
    Hamed RI, Ahson SI, Parveen R.
    J Integr Bioinform; 2010 Feb 04; 7(1):. PubMed ID: 20134077
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  • 5. Enriching regulatory networks by bootstrap learning using optimised GO-based gene similarity and gene links mined from PubMed abstracts.
    Taylor RC, Sanfilippo A, McDermott JE, Baddeley B, Riensche R, Jensen R, Verhagen M, Pustejovsky J.
    Int J Comput Biol Drug Des; 2011 Feb 04; 4(1):56-82. PubMed ID: 21330694
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  • 8. Inference of gene regulatory networks by means of dynamic differential Bayesian networks and nonparametric regression.
    Sugimoto N, Iba H.
    Genome Inform; 2004 Feb 04; 15(2):121-30. PubMed ID: 15706498
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  • 9. Inferring gene regulatory relationships by combining target-target pattern recognition and regulator-specific motif examination.
    Wei H, Kaznessis Y.
    Biotechnol Bioeng; 2005 Jan 05; 89(1):53-77. PubMed ID: 15540196
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  • 10. How to decide which are the most pertinent overly-represented features during gene set enrichment analysis.
    Barriot R, Sherman DJ, Dutour I.
    BMC Bioinformatics; 2007 Sep 11; 8():332. PubMed ID: 17848190
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  • 11. A new multiple regression approach for the construction of genetic regulatory networks.
    Zhang SQ, Ching WK, Tsing NK, Leung HY, Guo D.
    Artif Intell Med; 2010 Sep 11; 48(2-3):153-60. PubMed ID: 19963359
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  • 12. AVID: an integrative framework for discovering functional relationships among proteins.
    Jiang T, Keating AE.
    BMC Bioinformatics; 2005 Jun 01; 6():136. PubMed ID: 15929793
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  • 13. Identifying drug active pathways from gene networks estimated by gene expression data.
    Tamada Y, Imoto S, Tashiro K, Kuhara S, Miyano S.
    Genome Inform; 2005 Jun 01; 16(1):182-91. PubMed ID: 16362921
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  • 15. Inferring large-scale gene regulatory networks using a low-order constraint-based algorithm.
    Wang M, Augusto Benedito V, Xuechun Zhao P, Udvardi M.
    Mol Biosyst; 2010 Jun 01; 6(6):988-98. PubMed ID: 20485743
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  • 16. Computational methods for discovering gene networks from expression data.
    Lee WP, Tzou WS.
    Brief Bioinform; 2009 Jul 01; 10(4):408-23. PubMed ID: 19505889
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  • 19. Reverse-engineering transcriptional modules from gene expression data.
    Michoel T, De Smet R, Joshi A, Marchal K, Van de Peer Y.
    Ann N Y Acad Sci; 2009 Mar 01; 1158():36-43. PubMed ID: 19348630
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  • 20. Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein.
    Raghava GP, Han JH.
    BMC Bioinformatics; 2005 Mar 17; 6():59. PubMed ID: 15773999
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