( en | de | ru )

 

Disambiguation of "Nielsen, Morten"

Author of the publication

copydeleteadd this publication to your clipboard
Quantitative Predictions of Peptide Binding to Any HLA-DR Molecule of Known Sequence: NetMHCIIpan.

, , , , , , , and . PLoS Comput. Biol., (2008)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Morten Weidemann

Morten Karnuth

Morten Reitmayer

Morten Blöcker

Morten Trachterna

 

Other publications of authors with the same name

A comprehensive analysis of the IEDB MHC class-I automated benchmark., , , , , and . Briefings Bioinform., (2022)NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data., , , , and . Nucleic Acids Res., 48 (Webserver-Issue): W449-W454 (2020)Gapped sequence alignment using artificial neural networks: application to the MHC class I system., and . Bioinform., 32 (4): 511-517 (2016)Approximation with brushlet systems., and . J. Approx. Theory, 123 (1): 25-51 (2003)Beyond sparsity: Recovering structured representations by l1\ell^1 minimization and greedy algorithms., and . Adv. Comput. Math., 28 (1): 23-41 (2008)GibbsCluster: unsupervised clustering and alignment of peptide sequences., , and . Nucleic Acids Res., 45 (Webserver-Issue): W458-W463 (2017)The off-line group seat reservation problem., , , and . Eur. J. Oper. Res., 207 (3): 1244-1253 (2010)Simultaneous alignment and clustering of peptide data using a Gibbs sampling approach., , and . Bioinform., 29 (1): 8-14 (2013)NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction., and . BMC Bioinform., (2009)An introduction to deep learning on biological sequence data: examples and solutions., , , , , , , and . Bioinform., 33 (22): 3685-3690 (2017)