Підписатись
Massimo Andreatta
Massimo Andreatta
Ludwig Institute for Cancer Research, Lausanne
Підтверджена електронна адреса в unil.ch
Назва
Посилання
Посилання
Рік
NetMHCpan-4.0: improved peptide–MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data
V Jurtz, S Paul, M Andreatta, P Marcatili, B Peters, M Nielsen
The Journal of Immunology 199 (9), 3360-3368, 2017
14282017
Gapped sequence alignment using artificial neural networks: application to the MHC class I system
M Andreatta, M Nielsen
Bioinformatics 32 (4), 511-517, 2016
11872016
Improved methods for predicting peptide binding affinity to MHC class II molecules
KK Jensen, M Andreatta, P Marcatili, S Buus, JA Greenbaum, Z Yan, ...
Immunology 154 (3), 394-406, 2018
8232018
NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets
M Nielsen, M Andreatta
Genome medicine 8, 1-9, 2016
5732016
UCell: Robust and scalable single-cell gene signature scoring
M Andreatta, SJ Carmona
Computational and structural biotechnology journal 19, 3796-3798, 2021
4902021
Interpretation of T cell states from single-cell transcriptomics data using reference atlases
M Andreatta, J Corria-Osorio, S Müller, R Cubas, G Coukos, SJ Carmona
Nature communications 12 (1), 2965, 2021
3822021
Using electronic patient records to discover disease correlations and stratify patient cohorts
FS Roque, PB Jensen, H Schmock, M Dalgaard, M Andreatta, T Hansen, ...
PLoS computational biology 7 (8), e1002141, 2011
3802011
Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification
M Andreatta, E Karosiene, M Rasmussen, A Stryhn, S Buus, M Nielsen
Immunogenetics 67, 641-650, 2015
3672015
IEDB-AR: immune epitope database—analysis resource in 2019
SK Dhanda, S Mahajan, S Paul, Z Yan, H Kim, MC Jespersen, V Jurtz, ...
Nucleic acids research 47 (W1), W502-W506, 2019
3562019
Low-dose radiotherapy reverses tumor immune desertification and resistance to immunotherapy
FG Herrera, C Ronet, M Ochoa de Olza, D Barras, I Crespo, M Andreatta, ...
Cancer discovery 12 (1), 108-133, 2022
2702022
GibbsCluster: unsupervised clustering and alignment of peptide sequences
M Andreatta, B Alvarez, M Nielsen
Nucleic acids research 45 (W1), W458-W463, 2017
2292017
Simultaneous alignment and clustering of peptide data using a Gibbs sampling approach
M Andreatta, O Lund, M Nielsen
Bioinformatics 29 (1), 8-14, 2013
1722013
Predicting HLA CD4 immunogenicity in human populations
SK Dhanda, E Karosiene, L Edwards, A Grifoni, S Paul, M Andreatta, ...
Frontiers in Immunology 9, 1369, 2018
1312018
NNAlign_MA; MHC peptidome deconvolution for accurate MHC binding motif characterization and improved T-cell epitope predictions
B Alvarez, B Reynisson, C Barra, S Buus, N Ternette, T Connelley, ...
Molecular & Cellular Proteomics 18 (12), 2459-2477, 2019
1232019
Dissecting the treatment-naive ecosystem of human melanoma brain metastasis
J Biermann, JC Melms, AD Amin, Y Wang, LA Caprio, A Karz, S Tagore, ...
Cell 185 (14), 2591-2608. e30, 2022
1152022
An automated benchmarking platform for MHC class II binding prediction methods
M Andreatta, T Trolle, Z Yan, JA Greenbaum, B Peters, M Nielsen
Bioinformatics 34 (9), 1522-1528, 2018
922018
Immunoinformatics: predicting peptide–MHC binding
M Nielsen, M Andreatta, B Peters, S Buus
Annual review of biomedical data science 3 (1), 191-215, 2020
802020
Footprints of antigen processing boost MHC class II natural ligand predictions
C Barra, B Alvarez, S Paul, A Sette, B Peters, M Andreatta, S Buus, ...
Genome medicine 10, 1-15, 2018
792018
NNAlign: a platform to construct and evaluate artificial neural network models of receptor–ligand interactions
M Nielsen, M Andreatta
Nucleic acids research 45 (W1), W344-W349, 2017
782017
IL-10-expressing CAR T cells resist dysfunction and mediate durable clearance of solid tumors and metastases
Y Zhao, J Chen, M Andreatta, B Feng, YQ Xie, M Wenes, Y Wang, M Gao, ...
Nature Biotechnology 42 (11), 1693-1704, 2024
742024
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