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Søren Brunak
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Publications
- 2019
- [j57]Emilio Fenoy, José M. G. Izarzugaza, Vanessa Isabell Jurtz, Søren Brunak, Morten Nielsen:
A generic deep convolutional neural network framework for prediction of receptor-ligand interactions - NetPhosPan: application to kinase phosphorylation prediction. Bioinform. 35(7): 1098-1107 (2019) - 2007
- [j31]Claus Lundegaard, Ole Lund, Can Kesmir, Søren Brunak, Morten Nielsen:
Modeling the adaptive immune system: predictions and simulations. Bioinform. 23(24): 3265-3275 (2007) - 2005
- [b3]Ole Lund, Morten Nielsen, Claus Lundegaard, Can Kesmir, Søren Brunak:
Immunological bioinformatics. Computational molecular biology, AAAI Press 2005, ISBN 978-0-262-12280-1, pp. I-XII, 1-296 - 2004
- [j24]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. Bioinform. 20(9): 1388-1397 (2004) - [c14]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 - 2003
- [j20]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 Comput. 15(12): 2931-2942 (2003) - [c13]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
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