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Søren Brunak: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Claus Lundegaard, Morten Nielsen, Kasper Lamberth, Peder Worning, Christina Sylvester-Hvid, Søren Buus, Søren Brunak, Ole Lund
    MHC Class I Epitope Binding Prediction Trained on Small Data Sets. [Citation Graph (0, 0)][DBLP]
    ICARIS, 2004, pp:217-225 [Conf]
  2. Philip E. Bourne, Søren Brunak
    ISMB 2006. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:1-2 [Conf]
  3. Søren Brunak, Anders Krogh
    ISMB 2001. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2001, pp:1-4 [Conf]
  4. Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh
    Periodic Sequence Patterns in Human Exons. [Citation Graph (0, 0)][DBLP]
    ISMB, 1995, pp:30-38 [Conf]
  5. Pierre Baldi, Søren Brunak, Yves Chauvin, Anders Gorm Pedersen
    Computational Applications of DNA Structural Scales. [Citation Graph (0, 0)][DBLP]
    ISMB, 1998, pp:35-42 [Conf]
  6. Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak
    Matching Protein b-Sheet Partners by Feedforward and Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISMB, 2000, pp:25-36 [Conf]
  7. Jan Gorodkin, Ole Lund, Claus A. F. Andersen, Søren Brunak
    Using Sequence Motifs for Enhanced Neural Network Prediction of Protein Distance Constraints. [Citation Graph (0, 0)][DBLP]
    ISMB, 1999, pp:95-105 [Conf]
  8. Anders Gorm Pedersen, Pierre Baldi, Søren Brunak, Yves Chauvin
    Characterization of Prokaryotic and Eukaryotic Promoters Using Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    ISMB, 1996, pp:182-191 [Conf]
  9. Claus Lundegaard, Thomas Nordahl Petersen, Morten Nielsen, Henrik Bohr, Jakob Bohr, Søren Brunak, Garry Gippert, Ole Lund
    Prediction of Protein Secondary Structure at High Accuracy Using a Combination of Many Neural Networks. [Citation Graph (0, 0)][DBLP]
    Mathematical Methods for Protein Structure Analysis and Design, 2003, pp:117-122 [Conf]
  10. Pierre Baldi, Søren Brunak, Yves Chauvin, Jacob Engelbrecht, Anders Krogh
    Hidden Markov Models for Human Genes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:761-768 [Conf]
  11. Henrik Fredholm, Henrik Bohr, Jakob Bohr, Søren Brunak, Rodney M. J. Cotterill, Benny Lautrup, Steffen B. Petersen
    A Novel Approach to Prediction of the 3-Dimensional Structures. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:523-529 [Conf]
  12. Pierre Baldi, Søren Brunak
    Bioethics, Fiction Science, and the Future of Mankind - Session Introduction. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2001, pp:- [Conf]
  13. Ramneek Gupta, Søren Brunak
    Prediction of Glycosylation Across the Human Proteome and the Correlation to Protein Function. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2002, pp:310-322 [Conf]
  14. Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda
    Bidirectional Dynamics for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    Sequence Learning, 2001, pp:80-104 [Conf]
  15. Claus A. F. Andersen, Søren Brunak
    Representation of Protein-Sequence Information by Amino Acid Subalphabets. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2004, v:25, n:1, pp:97-104 [Journal]
  16. Pierre-François Baisnée, Pierre Baldi, Søren Brunak, Anders Gorm Pedersen
    Flexibility of the genetic code with respect to DNA structure. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:3, pp:237-248 [Journal]
  17. Pierre Baldi, Søren Brunak, Yves Chauvin, Claus A. F. Andersen, Henrik Nielsen
    Assessing the accuracy of prediction algorithms for classification: an overview. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2000, v:16, n:5, pp:412-424 [Journal]
  18. Pierre Baldi, Søren Brunak, Yves Chauvin, Anders Gorm Pedersen
    Structural basis for triplet repeat disorders: a computational analysis. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 1999, v:15, n:11, pp:918-929 [Journal]
  19. Pierre Baldi, Søren Brunak, Paolo Frasconi, Giovanni Soda, Gianluca Pollastri
    Exploiting the past and the future in protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 1999, v:15, n:11, pp:937-946 [Journal]
  20. Jan Gorodkin, Laurie J. Heyer, Søren Brunak, Gary D. Stormo
    Displaying the information contents of structural RNA alignments: the structure logos. [Citation Graph (0, 0)][DBLP]
    Computer Applications in the Biosciences, 1997, v:13, n:6, pp:583-586 [Journal]
  21. Jan Gorodkin, Hans Henrik Stærfeldt, Ole Lund, Søren Brunak
    MatrixPlot: visualizing sequence constraints. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 1999, v:15, n:9, pp:769-770 [Journal]
  22. Svava Ósk Jónsdóttir, Flemming Steen Jørgensen, Søren Brunak
    Prediction methods and databases within chemoinformatics: emphasis on drugs and drug candidates. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:10, pp:2145-2160 [Journal]
  23. Lars Juhl Jensen, Ramneek Gupta, Hans Henrik Stærfeldt, Søren Brunak
    Prediction of human protein function according to Gene Ontology categories. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:5, pp:635-642 [Journal]
  24. Ulrik de Lichtenberg, Lars Juhl Jensen, Anders Fausbøll, Thomas S. Jensen, Peer Bork, Søren Brunak
    Comparison of computational methods for the identification of cell cycle-regulated genes. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:7, pp:1164-1171 [Journal]
  25. Morten Nielsen, Claus Lundegaard, Peder Worning, Christina Sylvester-Hvid, Kasper Lamberth, Søren Buus, Søren Brunak, Ole Lund
    Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:9, pp:1388-1397 [Journal]
  26. Jeppe S. Spicker, Friedrik Wikman, Ming-Lan Lu, Carlos Cordon-Cardo, Christopher T. Workman, Torben F. Ørntoft, Søren Brunak, Steen Knudsen
    Neural network predicts sequence of TP53 gene based on DNA chip. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:8, pp:1133-1134 [Journal]
  27. Jannick Dyrløv Bendtsen, Henrik Nielsen, David Widdick, Tracy Palmer, Søren Brunak
    Prediction of twin-arginine signal peptides. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2005, v:6, n:, pp:167- [Journal]
  28. Lars Kiemer, Ole Lund, Søren Brunak, Nikolaj Blom
    Coronavirus 3CLpro proteinase cleavage sites: Possible relevance to SARS virus pathology. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2004, v:5, n:, pp:72- [Journal]
  29. Jan Gorodkin, Bodil Søgaard, Hanne Bay, Hans Doll, Per Kølster, Søren Brunak
    Recognition of Environmental and Genetic Effects on Barley Phenolic Fingerprints by Neural Networks. [Citation Graph (0, 0)][DBLP]
    Computers & Chemistry, 2001, v:25, n:3, pp:301-307 [Journal]
  30. Anders Gorm Pedersen, Pierre Baldi, Yves Chauvin, Søren Brunak
    The Biology of Eukaryotic Promoter Prediction - A Review. [Citation Graph (0, 0)][DBLP]
    Computers & Chemistry, 1999, v:23, n:3-4, pp:191-207 [Journal]
  31. David Ussery, Dikeos Mario Soumpasis, Søren Brunak, Hans Henrik Stærfeldt, Peder Worning, Anders Krogh
    Bias of Purine Stretches in Sequenced Chromosomes. [Citation Graph (0, 0)][DBLP]
    Computers & Chemistry, 2002, v:26, n:5, pp:531-541 [Journal]
  32. Henrik Nielsen, Jacob Engelbrecht, Søren Brunak, Gunnar von Heijne
    A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1997, v:8, n:5-6, pp:581-599 [Journal]
  33. Thomas M. Frimurer, Robert Bywater, Lars Nærum, Leif Nørskov Lauritsen, Søren Brunak
    Improving the Odds in Discriminating "Drug-like" from "Non Drug-like" Compounds. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2000, v:40, n:6, pp:1315-1324 [Journal]
  34. Nikolaj Blom, Andres Kreegipuu, Søren Brunak
    PhosphoBase: a database of phosphorylation sites. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1998, v:26, n:1, pp:382-386 [Journal]
  35. Tanja la Cour, Ramneek Gupta, Kristoffer Rapacki, Karen Skriver, Flemming M. Poulsen, Søren Brunak
    NESbase version 1.0: a database of nuclear export signals. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2003, v:31, n:1, pp:393-396 [Journal]
  36. Jan E. Hansen, Ole Lund, Jens O. Nielsen, John-E. S. Hansen, Søren Brunak
    O-GLYCBASE: a revised database of O-glycosylated proteins. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1996, v:24, n:1, pp:248-252 [Journal]
  37. Jan E. Hansen, Ole Lund, Jette Nilsson, Kristoffer Rapacki, Søren Brunak
    O-GLYCBASE Version 3.0: a revised database of O-glycosylated proteins. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1998, v:26, n:1, pp:387-389 [Journal]
  38. Jan E. Hansen, Ole Lund, Kristoffer Rapacki, Søren Brunak
    O-GLYCBASE version 2.0: a revised database of O-glycosylated proteins. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1997, v:25, n:1, pp:278-282 [Journal]
  39. Ramneek Gupta, Hanne Birch, Kristoffer Rapacki, Søren Brunak, Jan E. Hansen
    O-GLYCBASE version 4.0: a revised database of O-glycosylated proteins. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1999, v:27, n:1, pp:370-372 [Journal]
  40. Andres Kreegipuu, Nikolaj Blom, Søren Brunak
    PhosphoBase, a database of phosphorylation sites: release 2.0. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1999, v:27, n:1, pp:237-239 [Journal]
  41. Jens Kaae Christensen, Kasper Lamberth, Morten Nielsen, Claus Lundegaard, Peder Worning, Sanne Lise Lauemøller, Søren Buus, Søren Brunak, Ole Lund
    Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:12, pp:2931-2942 [Journal]

  42. SNP mining porcine ESTs with MAVIANT, a novel tool for SNP evaluation and annotation. [Citation Graph (, )][DBLP]


  43. ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. [Citation Graph (, )][DBLP]


  44. Modeling the adaptive immune system: predictions and simulations. [Citation Graph (, )][DBLP]


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