| 論文 |
papers |
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Generative AI-Guided Design of High-Affinity T Cell Receptors Martin Renqiang Min,Tianxiao Li,Kazuhide Onoguchi,Daiki Mori,Ayako Demachi-Okamura,Jonathan Warrell,Pierre Machart,Anja Moesch,Andrea Meiser,Ivy Grace Pait,Daisuke Muraoka,Hirokazu Matsushita,Giulia Paiardi,Matheus Ferraz,Kaidre Bendjama 2026年02月12日
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Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis Leonardo V. Castorina,Filippo Grazioli,Pierre Machart,Anja Mösch,Federico Errica PLOS One 2025年05月20日
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Discrete-Continuous Variational Optimization with Local Gradients Jonathan H Warrell,Francesco Alesiani,Cameron Smith,Anja Mösch,Martin Renqiang Min OPT 2024: Optimization for Machine Learning 2024年10月
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NeoAgDT: optimization of personal neoantigen vaccine composition by digital twin simulation of a cancer cell population Anja Mösch,Filippo Grazioli,Pierre Machart,Brandon Malone Bioinformatics 2024年05月02日
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Variational methods for Learning Multilevel Genetic Algorithms using the Kantorovich Monad Jonathan Warrell,Francesco Alesiani,Cameron Smith,Anja Mösch,Martin Renqiang Min 2024年
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Attentive Variational Information Bottleneck for TCR–peptide interaction prediction Filippo Grazioli,Pierre Machart,Anja Mösch,Kai Li,Leonardo V Castorina,Nico Pfeifer,Martin Renqiang Min Bioinformatics 2023年01月01日
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On TCR binding predictors failing to generalize to unseen peptides Filippo Grazioli,Anja Mösch,Pierre Machart,Kai Li,Israa Alqassem,Timothy J. O’Donnell,Martin Renqiang Min Frontiers in Immunology 13巻 2022年10月21日
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TCRpair: prediction of functional pairing between HLA-A*02:01-restricted T-cell receptor α and β chains Anja Mösch,Dmitrij Frishman Bioinformatics 37巻21号3938頁-3940頁 2021年11月05日
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Validity of machine learning in biology and medicine increased through collaborations across fields of expertise Mösch Anja Nature Machine Intelligence 2020年01月13日
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Machine Learning for Cancer Immunotherapies Based on Epitope Recognition by T Cell Receptors Mösch Anja Frontiers in Genetics 2019年11月19日
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Generative AI-Guided Design of High-Affinity T Cell Receptors Martin Renqiang Min,Tianxiao Li,Kazuhide Onoguchi,Daiki Mori,Ayako Demachi-Okamura,Jonathan Warrell,Pierre Machart,Anja Moesch,Andrea Meiser,Ivy Grace Pait,Daisuke Muraoka,Hirokazu Matsushita,Giulia Paiardi,Matheus Ferraz,Kaidre Bendjama 2026/02/12
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Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis Leonardo V. Castorina,Filippo Grazioli,Pierre Machart,Anja Mösch,Federico Errica PLOS One 2025/05/20
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Discrete-Continuous Variational Optimization with Local Gradients Jonathan H Warrell,Francesco Alesiani,Cameron Smith,Anja Mösch,Martin Renqiang Min OPT 2024: Optimization for Machine Learning 2024/10
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NeoAgDT: optimization of personal neoantigen vaccine composition by digital twin simulation of a cancer cell population Anja Mösch,Filippo Grazioli,Pierre Machart,Brandon Malone Bioinformatics 2024/05/02
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Variational methods for Learning Multilevel Genetic Algorithms using the Kantorovich Monad Jonathan Warrell,Francesco Alesiani,Cameron Smith,Anja Mösch,Martin Renqiang Min 2024
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Attentive Variational Information Bottleneck for TCR–peptide interaction prediction Filippo Grazioli,Pierre Machart,Anja Mösch,Kai Li,Leonardo V Castorina,Nico Pfeifer,Martin Renqiang Min Bioinformatics 2023/01/01
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On TCR binding predictors failing to generalize to unseen peptides Filippo Grazioli,Anja Mösch,Pierre Machart,Kai Li,Israa Alqassem,Timothy J. O’Donnell,Martin Renqiang Min Frontiers in Immunology 13. 2022/10/21
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TCRpair: prediction of functional pairing between HLA-A*02:01-restricted T-cell receptor α and β chains Anja Mösch,Dmitrij Frishman Bioinformatics 37.21.3938-3940 2021/11/05
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Validity of machine learning in biology and medicine increased through collaborations across fields of expertise Mösch Anja Nature Machine Intelligence 2020/01/13
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Machine Learning for Cancer Immunotherapies Based on Epitope Recognition by T Cell Receptors Mösch Anja Frontiers in Genetics 2019/11/19
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