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Kay C. Wiese: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Alain Deschênes, Kay C. Wiese, Edward Glen
    Comparison of Permutation-Based and Binary Representation in a Genetic Algorithm for RNA Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:549-550 [Conf]
  2. Andrew Hendriks, Kay C. Wiese, Edward Glen
    Comparison of Parallel and Serial Genetic Algorithms for RNA Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:554-555 [Conf]
  3. Lenny Tang, Kay C. Wiese, Vive Kumar
    Genetic Algorithm Based OSPF Network Routing Using LEDA. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:571-572 [Conf]
  4. Kay C. Wiese, Scott D. Goodwin
    The Effect of Genetic Operator Probabilities and Selection Strategies on the Performance of a Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 1998, pp:139-153 [Conf]
  5. Kay C. Wiese, Scott D. Goodwin, Sivakumar Nagarajan
    ASERC - A Genetic Sequencing Operator for Asymmetric Permutation Problems. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2000, pp:201-213 [Conf]
  6. Kay C. Wiese, Christina Eicher
    Graph Drawing Tools for Bioinformatics Research: An Overview. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:653-658 [Conf]
  7. Kay C. Wiese, Edward Glen
    jViz.Rna - An Interactive Graphical Tool for Visualizing RNA Secondary Structure Including Pseudoknots. [Citation Graph (0, 0)][DBLP]
    CBMS, 2006, pp:659-664 [Conf]
  8. Kirt Noël, Kay C. Wiese
    Exploring the Use of Stem-Loop Characteristics for Pinpointing Structural RNA Genes. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:533-534 [Conf]
  9. Kay C. Wiese, Sivakumar Nagarajan, Scott D. Goodwin
    Parallel Genetic Algorithms for Constrained Ordering Problems. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1998, pp:101-105 [Conf]
  10. Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef
    The impact of pseudorandom number quality on P-RnaPredict, a parallel genetic algorithm for RNA secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    GECCO, 2005, pp:479-480 [Conf]
  11. Kay C. Wiese, Edward Glen
    A Permutation Based Genetic Algorithm for RNA Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    HIS, 2002, pp:173-182 [Conf]
  12. Kay C. Wiese, Edward Glen
    RNA Structure as Permutation: A GA Approach Comparing Different Genetic Sequencing Operators. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2003, pp:511-520 [Conf]
  13. Kay C. Wiese, Scott D. Goodwin
    Keep-best reproduction: a selection strategy for genetic algorithms. [Citation Graph (0, 0)][DBLP]
    SAC, 1998, pp:343-348 [Conf]
  14. Kay C. Wiese, Scott D. Goodwin
    Convergence Characteristics of Keep-Best Reproduction. [Citation Graph (0, 0)][DBLP]
    SAC, 1999, pp:312-318 [Conf]
  15. Kay C. Wiese, Andrew Hendriks
    Comparison of P-RnaPredict and mfold - algorithms for RNA secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:8, pp:934-942 [Journal]
  16. H. Alexander Ebhardt, Kay C. Wiese, Peter J. Unrau
    Ebbie: automated analysis and storage of small RNA cloning data using a dynamic web server. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:185- [Journal]
  17. Kay C. Wiese, Scott D. Goodwin
    Keep-Best Reproduction: A Local Family Competition Selection Strategy and the Environment it Flourishes in. [Citation Graph (0, 0)][DBLP]
    Constraints, 2001, v:6, n:4, pp:399-422 [Journal]
  18. Kay C. Wiese, Andrew Hendriks, Jagdeep Poonian
    Algorithms for RNA folding: a comparison of dynamic programming and parallel evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:475-483 [Conf]
  19. Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef
    Significance of randomness in P-RnaPredict - a parallel evolutionary algorithm for RNA folding. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:467-474 [Conf]

  20. Analysis of Thermodynamic Models and Performance in RnaPredict - An Evolutionary Algorithm for RNA Folding. [Citation Graph (, )][DBLP]


  21. SARNA-Predict: A Simulated Annealing Algorithm for RNA Secondary Structure Prediction. [Citation Graph (, )][DBLP]


  22. SARNA-Predict: A Study of RNA Secondary Structure Prediction Using Different Annealing Schedules. [Citation Graph (, )][DBLP]


  23. SARNA-Predict-pk: Predicting RNA secondary structures including pseudoknots. [Citation Graph (, )][DBLP]


  24. A hybrid clustering/evolutionary algorithm for RNA folding. [Citation Graph (, )][DBLP]


  25. rnaDesign: Local search for RNA secondary structure design. [Citation Graph (, )][DBLP]


  26. SARNA-ensemble-predict: The effect of different dissimilarity metrics on a novel ensemble-based RNA secondary structure prediction algorithm. [Citation Graph (, )][DBLP]


  27. Performance prediction for RNA design using parametric and non-parametric regression models. [Citation Graph (, )][DBLP]


  28. Permutation-based RNA secondary structure prediction via a genetic algorithm. [Citation Graph (, )][DBLP]


  29. A distributed genetic algorithm for RNA secondary structure prediction. [Citation Graph (, )][DBLP]


  30. The significance of thermodynamic models in the accuracy improvement of RNA secondary structure prediction using permutation-based simulated annealing. [Citation Graph (, )][DBLP]


  31. Impact of an enhanced thermodynamic model on RnaPredict, an evolutionary algorithm for RNA secondary structure prediction. [Citation Graph (, )][DBLP]


  32. RNA pseudoknot prediction via an evolutionary algorithm. [Citation Graph (, )][DBLP]


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