| 2008 |
| 6 | EE | Claus Lundegaard,
Ole Lund,
Morten Nielsen:
Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers.
Bioinformatics 24(11): 1397-1398 (2008) |
| 2007 |
| 5 | EE | Claus Lundegaard,
Ole Lund,
Can Kesmir,
Søren Brunak,
Morten Nielsen:
Modeling the adaptive immune system: predictions and simulations.
Bioinformatics 23(24): 3265-3275 (2007) |
| 2004 |
| 4 | EE | 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.
ICARIS 2004: 217-225 |
| 3 | EE | 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.
Bioinformatics 20(9): 1388-1397 (2004) |
| 2003 |
| 2 | EE | 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.
Mathematical Methods for Protein Structure Analysis and Design 2003: 117-122 |
| 1 | EE | 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.
Neural Computation 15(12): 2931-2942 (2003) |