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Tudor-Stefan Cotet
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Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ...
MAbs 14 (1), 2008790, 2022
622022
Phenotypic determinism and stochasticity in antibody repertoires of clonally expanded plasma cells
D Neumeier, A Yermanos, A Agrafiotis, L Csepregi, T Chowdhury, ...
Proceedings of the National Academy of Sciences 119 (18), e2113766119, 2022
202022
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs
R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ...
Taylor & Francis, 2022
62022
Persistent virus-specific and clonally expanded antibody-secreting cells respond to induced self-antigen in the CNS
A Agrafiotis, R Dizerens, I Vincenti, I Wagner, R Kuhn, D Shlesinger, ...
Acta Neuropathologica 145 (3), 335-355, 2023
42023
B cell clonal expansion is correlated with antigen-specificity in young but not old mice
A Agrafiotis, D Neumeier, KL Hong, T Chowdhury, R Ehling, R Kuhn, ...
BioRxiv, 2021
42021
Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity
A Agrafiotis, D Neumeier, KL Hong, T Chowdhury, R Ehling, R Kuhn, ...
Iscience 26 (3), 2023
32023
Learning immune receptor representations with protein language models
A Dounas, TS Cotet, A Yermanos
arXiv preprint arXiv:2402.03823, 2024
2024
ePlatypus: an ecosystem for computational analysis of immunogenomics data
TS Cotet, A Agrafiotis, V Kreiner, R Kuhn, D Shlesinger, ...
Bioinformatics 39 (9), btad553, 2023
2023
ePlatypus: an ecosystem for computational analysis of immunogenomics data
V Kreiner, A Agrafiotis, TS Cotet, R Kuhn, D Shlesinger, ...
bioRxiv, 2022.09. 28.509709, 2022
2022
How can we efficiently use mathematical models to understand cell proliferation and differentiation?
TS Cotet
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