Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers

C Lundegaard, O Lund, M Nielsen - Bioinformatics, 2008 - academic.oup.com
Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …

Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers.

C Lundegaard, O Lund, M Nielsen - Bioinformatics, 2008 - search.ebscohost.com
Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …

Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers

C Lundegaard, O Lund, M Nielsen - Bioinformatics, 2008 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Summary: Several accurate prediction systems
have been developed for prediction of class I major histocompatibility complex (MHC) …

Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers

C Lundegaard, O Lund, M Nielsen - Bioinformatics, 2008 - dl.acm.org
Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …

Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers.

C Lundegaard, O Lund, M Nielsen - Bioinformatics (Oxford, England …, 2008 - europepmc.org
Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …

[PDF][PDF] Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers

C Lundegaard, O Lund, M Nielsen - BIOINFORMATICS, 2008 - scholar.archive.org
Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10
and 11 using prediction tool Page 1 Vol. 24 no. 11 2008, pages 1397–1398 BIOINFORMATICS …

Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers

C Lundegaard, O Lund… - Bioinformatics (Oxford …, 2008 - pubmed.ncbi.nlm.nih.gov
Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …

[引用][C] Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers

C LUNDEGAARD, O LUND… - Bioinformatics (Oxford …, 2008 - pascal-francis.inist.fr
Accurate approximation method for prediction of class I MHC affinities for peptides of length
8, 10 and 11 using prediction tools trained on 9mers CNRS Inist Pascal-Francis CNRS …

Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers

C Lundegaard, O Lund, M Nielsen - Bioinformatics, 2008 - orbit.dtu.dk
Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …

Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers.

C Lundegaard, O Lund, M Nielsen - Bioinformatics, 2008 - search.ebscohost.com
Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …