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Mikael Bodén: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mikael Bodén, John Hawkins
    Detecting residues in targeting peptides. [Citation Graph (0, 0)][DBLP]
    APBC, 2005, pp:131-140 [Conf]
  2. Stefan Maetschke, Michael Towsey, Mikael Bodén
    BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction. [Citation Graph (0, 0)][DBLP]
    APBC, 2005, pp:141-150 [Conf]
  3. Denis Bauer, Mikael Bodén, Ricarda Thier, Zheng Yuan
    Predicting Structural Disruption of Proteins Caused by Crossover (based on Amino Acid Sequence). [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:514-520 [Conf]
  4. Jakkarin Suksawatchon, Chidchanok Lursinsap, Mikael Bodén
    Heuristic Algorithm for Computing Reversal Distance with MultiGene Families via Binary Integer Programming. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:187-193 [Conf]
  5. John Hawkins, Mikael Bodén
    Predicting Peroxisomal Proteins. [Citation Graph (0, 0)][DBLP]
    CIBCB, 2005, pp:469-474 [Conf]
  6. Mikael Bodén
    Generalization by structural properties from sparse nested symbolic data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:377-382 [Conf]
  7. Mikael Bodén, Henrik Jacobsson, Tom Ziemke
    Evolving context-free language predictors. [Citation Graph (0, 0)][DBLP]
    GECCO, 2000, pp:1033-1040 [Conf]
  8. Mikael Bodén
    A Connectionist Variation of Inheritance. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:353-358 [Conf]
  9. Mark Wakabayashi, John Hawkins, Stefan Maetschke, Mikael Bodén
    Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:454-461 [Conf]
  10. Mikael Bodén, Alan D. Blair
    Learning the Dynamics of Embedded Clauses. [Citation Graph (0, 0)][DBLP]
    Appl. Intell., 2003, v:19, n:1-2, pp:51-63 [Journal]
  11. Marie Bodén, Mikael Bodén
    Evolving spelling exercises to suit individual student needs. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2007, v:7, n:1, pp:126-135 [Journal]
  12. Mikael Bodén, Timothy L. Bailey
    Identifying sequence regions undergoing conformational change via predicted continuum secondary structure. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:15, pp:1809-1814 [Journal]
  13. Mikael Bodén, John Hawkins
    Prediction of subcellular localization using sequence-biased recurrent networks. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:10, pp:2279-2286 [Journal]
  14. Mikael Bodén, Zheng Yuan, Timothy L. Bailey
    Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:68- [Journal]
  15. Mikael Bodén, Lars Niklasson
    Semantic systematicity and context in connectionist networks. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 2000, v:12, n:2, pp:111-142 [Journal]
  16. Mikael Bodén, Janet Wiles
    Context-free and context-sensitive dynamics in recurrent neural networks. [Citation Graph (0, 0)][DBLP]
    Connect. Sci., 2000, v:12, n:3-4, pp:197-210 [Journal]
  17. Mikael Bodén
    Generalization by symbolic abstraction in cascaded recurrent networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:87-104 [Journal]
  18. John Hawkins, Mikael Bodén
    The Applicability of Recurrent Neural Networks for Biological Sequence Analysis. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:243-253 [Journal]
  19. Liwen You, Ping Zhang, Mikael Bodén, Vladimir Brusic
    Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:337-348 [Conf]
  20. Mikael Bodén, Lars Niklasson
    Editorial. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1993, v:7, n:5, pp:259-260 [Journal]

  21. Predicting Nucleolar Proteins Using Support-Vector Machines. [Citation Graph (, )][DBLP]

  22. A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins. [Citation Graph (, )][DBLP]

  23. Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes. [Citation Graph (, )][DBLP]

  24. Multilinear Decomposition and Topographic Mapping of Binary Tensors. [Citation Graph (, )][DBLP]

  25. Predicting SUMOylation Sites. [Citation Graph (, )][DBLP]

  26. Assigning roles to DNA regulatory motifs using comparative genomics. [Citation Graph (, )][DBLP]

  27. STAR: predicting recombination sites from amino acid sequence. [Citation Graph (, )][DBLP]

  28. The value of position-specific priors in motif discovery using MEME. [Citation Graph (, )][DBLP]

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