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Vanathi Gopalakrishnan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vanathi Gopalakrishnan
    Inducing Design Biases that Characterize Successful Experimentation in Weak-Theory Domains: TIPS. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1391- [Conf]
  2. Vanathi Gopalakrishnan, Daniel N. Hennessy, Bruce G. Buchanan, Devika Subramanian
    The Crystallographer's Assistant. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:1451- [Conf]
  3. Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele
    Protein Quaternary Fold Recognition Using Conditional Graphical Models. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:937-945 [Conf]
  4. Daniel N. Hennessy, Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg, Devika Subramanian
    Induction of Rules for Biological Macromolecular Crystallization. [Citation Graph (0, 0)][DBLP]
    ISMB, 1994, pp:179-187 [Conf]
  5. Vanathi Gopalakrishnan, Bruce G. Buchanan, John M. Rosenberg
    Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization. [Citation Graph (0, 0)][DBLP]
    ISMB, 2000, pp:171-182 [Conf]
  6. Vanathi Gopalakrishnan, Philip Ganchev, Srikanth Ranganathan, Robert Bowser
    Rule Learning for Disease-Specific Biomarker Discovery from Clinical Proteomic Mass Spectra. [Citation Graph (0, 0)][DBLP]
    BioDM, 2006, pp:93-105 [Conf]
  7. Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan
    Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2005, pp:408-422 [Conf]
  8. Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
    Context sensitive vocabulary and its application in protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2004, pp:538-539 [Conf]
  9. Vanathi Gopalakrishnan, Bruce G. Buchanan
    Representing and Learning Temporal Relationships among Experimental Variables. [Citation Graph (0, 0)][DBLP]
    TIME, 1998, pp:148-155 [Conf]
  10. Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan
    Comparison of probabilistic combination methods for protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:17, pp:3099-3107 [Journal]
  11. Xinghua Lu, ChengXiang Zhai, Vanathi Gopalakrishnan, Bruce G. Buchanan
    Automatic annotation of protein motif function with Gene Ontology terms. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2004, v:5, n:, pp:122- [Journal]

  12. An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. [Citation Graph (, )][DBLP]


  13. Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. [Citation Graph (, )][DBLP]


  14. Bayesian rule learning for biomedical data mining. [Citation Graph (, )][DBLP]


  15. Knowledge-based variable selection for learning rules from proteomic data. [Citation Graph (, )][DBLP]


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