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Expert Review of Vaccines
|
July 14, 2010
Mice, men and MHC supertypes
Claus Lundegaard
BMC Bioinformatics
|
July 5, 2007
Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
Morten Nielsen, Claus Lundegaard, Ole Lund
Trends in Biotechnology
|
October 19, 2006
The validity of predicted T-cell epitopes
Claus Lundegaard, Morten Nielsen, Ole Lund
Bioinformatics (Oxford, England)
|
November 11, 2008
Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods
Hao Zhang, Claus Lundegaard, Morten Nielsen
Expert Review of Vaccines
|
December 14, 2011
Predictions versus high-throughput experiments in T-cell epitope discovery: competition or synergy?
Claus Lundegaard, Ole Lund, Morten Nielsen
Journal of Immunological Methods
|
November 5, 2010
Prediction of epitopes using neural network based methods
Claus Lundegaard, Ole Lund, Morten Nielsen
Bioinformatics (Oxford, England)
|
April 17, 2008
Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers
Claus Lundegaard, Ole Lund, Morten Nielsen
Plos One
|
December 15, 2010
NetTurnP--neural network prediction of beta-turns by use of evolutionary information and predicted protein sequence features
Bent Petersen, Claus Lundegaard, Thomas Nordahl Petersen
Immunogenetics
|
October 20, 2011
NetMHCcons: a consensus method for the major histocompatibility complex class I predictions
Edita Karosiene, Claus Lundegaard, Ole Lund, et al.
Immunogenetics
|
March 4, 2005
The role of the proteasome in generating cytotoxic T-cell epitopes: insights obtained from improved predictions of proteasomal cleavage
Morten Nielsen, Claus Lundegaard, Ole Lund, et al.
Page
of 5
Search research articles
Search
Showing results (1-10 of 43) with videos related to
Sort By:
Page
of 5
Expert Review of Vaccines
|
July 14, 2010
Mice, men and MHC supertypes
Claus Lundegaard
BMC Bioinformatics
|
July 5, 2007
Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
Morten Nielsen, Claus Lundegaard, Ole Lund
Trends in Biotechnology
|
October 19, 2006
The validity of predicted T-cell epitopes
Claus Lundegaard, Morten Nielsen, Ole Lund
Bioinformatics (Oxford, England)
|
November 11, 2008
Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods
Hao Zhang, Claus Lundegaard, Morten Nielsen
Expert Review of Vaccines
|
December 14, 2011
Predictions versus high-throughput experiments in T-cell epitope discovery: competition or synergy?
Claus Lundegaard, Ole Lund, Morten Nielsen
Journal of Immunological Methods
|
November 5, 2010
Prediction of epitopes using neural network based methods
Claus Lundegaard, Ole Lund, Morten Nielsen
Bioinformatics (Oxford, England)
|
April 17, 2008
Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers
Claus Lundegaard, Ole Lund, Morten Nielsen
Plos One
|
December 15, 2010
NetTurnP--neural network prediction of beta-turns by use of evolutionary information and predicted protein sequence features
Bent Petersen, Claus Lundegaard, Thomas Nordahl Petersen
Immunogenetics
|
October 20, 2011
NetMHCcons: a consensus method for the major histocompatibility complex class I predictions
Edita Karosiene, Claus Lundegaard, Ole Lund, et al.
Immunogenetics
|
March 4, 2005
The role of the proteasome in generating cytotoxic T-cell epitopes: insights obtained from improved predictions of proteasomal cleavage
Morten Nielsen, Claus Lundegaard, Ole Lund, et al.
Page
of 5