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Anja Mösch
Anja Mösch
Research Scientist, NEC Laboratories Europe GmbH
Bestätigte E-Mail-Adresse bei neclab.eu
Titel
Zitiert von
Zitiert von
Jahr
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise
M Littmann, K Selig, L Cohen-Lavi, Y Frank, P Hönigschmid, E Kataka, ...
Nature Machine Intelligence 2 (1), 18-24, 2020
672020
On TCR binding predictors failing to generalize to unseen peptides
F Grazioli, A Mösch, P Machart, K Li, I Alqassem, TJ O’Donnell, MR Min
Frontiers in Immunology 13, 1014256, 2022
532022
Machine learning for cancer immunotherapies based on epitope recognition by T cell receptors
A Mösch, S Raffegerst, M Weis, DJ Schendel, D Frishman
Frontiers in Genetics 10, 1141, 2019
482019
Expitope 2.0: a tool to assess immunotherapeutic antigens for their potential cross-reactivity against naturally expressed proteins in human tissues
V Jaravine, A Mösch, S Raffegerst, DJ Schendel, D Frishman
BMC cancer 17, 1-9, 2017
262017
Differential expression analysis of human endogenous retroviruses based on ENCODE RNA-seq data
K Haase, A Mösch, D Frishman
BMC medical genomics 8, 1-12, 2015
262015
Attentive Variational Information Bottleneck for TCR–peptide interaction prediction
F Grazioli, P Machart, A Mösch, K Li, LV Castorina, N Pfeifer, MR Min
Bioinformatics 39 (1), btac820, 2023
132023
NeoAgDT: optimization of personal neoantigen vaccine composition by digital twin simulation of a cancer cell population
A Mösch, F Grazioli, P Machart, B Malone
Bioinformatics 40 (5), btae205, 2024
22024
TCRpair: prediction of functional pairing between HLA-A* 02: 01-restricted T-cell receptor α and β chains
A Mösch, D Frishman
Bioinformatics 37 (21), 3938-3940, 2021
12021
METHODS OF VACCINE DESIGN
F Grazioli, A Moesch, B Malone
US Patent App. 18/729,517, 2025
2025
MACHINE-LEARNING EXTRACTION OF BIOMEDICAL INFORMATION AND OPTIMIZED CHARACTERIZATION OF A TUMOR MICRO ENVIRONMENT OF A PATIENT
G Pileggi, A Moesch, C Chaput, C Lawrence
US Patent App. 18/509,364, 2025
2025
Variational methods for Learning Multilevel Genetic Algorithms using the Kantorovich Monad
J Warrell, F Alesiani, C Smith, A Mösch, MR Min
arXiv preprint arXiv:2411.09779, 2024
2024
1230 Design of enhanced TCR against cancer antigens using an AI system
MR Min, K Onoguchi, T Li, D Mori, J Warrell, P Machart, A Moesch, ...
Journal for ImmunoTherapy of Cancer 12 (Suppl 2), 2024
2024
MAGEA1 Specific T Cell Receptors and Their Use
C Wehner, M Weis, S Raffegerst, A Mösch
US Patent App. 17/600,518, 2023
2023
Computational methods to improve development of T cell based cancer immunotherapies
AF Mösch
Technische Universität München, 2022
2022
Discrete-Continuous Variational Optimization with Local Gradients
JH Warrell, F Alesiani, C Smith, A Mösch, MR Min
OPT 2024: Optimization for Machine Learning, 0
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