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nedwards' heterogeneous-data-sources [16 articles]

Artikler nylig sendt til nedwards' bibliotek klassifisert med nøkkelordet heterogeneous-data-sources. You can also see everyone's heterogeneous-data-sources.
  • A statistical framework for genomic data fusion.
    Bioinformatics, Vol. 20, No. 16. (1 November 2004), pp. 2626-2635.
    by GR Lanckriet, TD De Bie, N Cristianini, MI Jordan, WS Noble
  • A data integration methodology for systems biology.
    Proc Natl Acad Sci U S A (21 November 2005)
    by Daehee Hwang, Alistair G G Rust, Stephen Ramsey, Jennifer J J Smith, Deena M M Leslie, Andrea D D Weston, Pedro de Atauri, John D D Aitchison, Leroy Hood, Andrew F F Siegel, Hamid Bolouri
  • A data integration methodology for systems biology: Experimental verification
    PNAS, Vol. 102, No. 48. (29 November 2005), pp. 17302-17307.
    by Daehee Hwang, Jennifer J Smith, Deena M Leslie, Andrea D Weston, Alistair G Rust, Stephen Ramsey, Pedro de Atauri, Andrew F Siegel, Hamid Bolouri, John D Aitchison, Leroy Hood
  • Evaluation and integration of 49 genome-wide experiments and the prediction of previously unknown obesity-related genes
    Bioinformatics, Vol. 23, No. 21. (1 November 2007), pp. 2910-2917.
    by Sangeeta B English, Atul J Butte
  • Protein networks in disease
    Genome Res., Vol. 18, No. 4. (1 April 2008), pp. 644-652.
    by Trey Ideker, Roded Sharan
  • A Bayesian networks approach for predicting protein-protein interactions from genomic data.
    Science, Vol. 302, No. 5644. (17 October 2003), pp. 449-453.
    by R Jansen, H Yu, D Greenbaum, Y Kluger, NJ Krogan, S Chung, A Emili, M Snyder, JF Greenblatt, M Gerstein
  • Integrated Protein Interaction Networks for 11 Microbes
    : Research in Computational Molecular Biology (2006), pp. 1-14.
    by Balaji S Srinivasan, Antal F Novak, Jason A Flannick, Serafim Batzoglou, Harley H Mcadams
  • IntNetDB v1.0: An integrated protein-protein interaction network database generated by a probabilistic model
    BMC Bioinformatics, Vol. 7 (18 November 2006), 508.
    by Kai Xia, Dong Dong, Jing-Dong J Han
  • Predicting co-complexed protein pairs using genomic and proteomic data integration.
    BMC Bioinformatics, Vol. 5 (16 April 2004)
    by LV Zhang, SL Wong, OD King, FP Roth
  • Assessing the limits of genomic data integration for predicting protein networks.
    Genome Res, Vol. 15, No. 7. (July 2005), pp. 945-953.
    by LJ Lu, Y Xia, A Paccanaro, H Yu, M Gerstein
  • Network modeling links breast cancer susceptibility and centrosome dysfunction.
    Nat Genet (7 October 2007)
    by Miguel Angel A Pujana, Jing-Dong J D Han, Lea M M Starita, Kristen N N Stevens, Muneesh Tewari, Jin Sook S Ahn, Gad Rennert, Víctor Moreno, Tomas Kirchhoff, Bert Gold, Volker Assmann, Wael M M Elshamy, Jean-François F Rual, Douglas Levine, Laura S S Rozek, Rebecca S S Gelman, Kristin C C Gunsalus, Roger A A Greenberg, Bijan Sobhian, Nicolas Bertin, Kavitha Venkatesan, Nono Ayivi-Guedehoussou, Xavier Solé, Pilar Hernández, Conxi Lázaro, Katherine L L Nathanson, Barbara L L Weber, Michael E E Cusick, David E E Hill, Kenneth Offit, David M M Livingston, Stephen B B Gruber, Jeffrey D D Parvin, Marc Vidal
  • A framework of integrating gene relations from heterogeneous data sources: an experiment on Arabidopsis thaliana.
    Bioinformatics, Vol. 22, No. 16. (15 August 2006), pp. 2037-2043.
    by J Li, X Li, H Su, H Chen, DW Galbraith
  • Context-sensitive data integration and prediction of biological networks
    Bioinformatics, Vol. 23, No. 17. (1 September 2007), pp. 2322-2330.
    by Chad L Myers, Olga G Troyanskaya
  • Current progress in network research: toward reference networks for key model organisms.
    Brief Bioinform (29 August 2007)
    by Balaji S S Srinivasan, Nigam H H Shah, Jason A A Flannick, Eduardo Abeliuk, Antal F F Novak, Serafim Batzoglou
  • Beyond the 'best' match: machine learning annotation of protein sequences by integration of different sources of information
    Bioinformatics, Vol. 24, No. 5. (1 March 2008), pp. 621-628.
    by Igor V Tetko, Igor V Rodchenkov, Mathias C Walter, Thomas Rattei, Hans-Werner Mewes
  • A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae).
    Proc Natl Acad Sci U S A, Vol. 100, No. 14. (8 July 2003), pp. 8348-8353.
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