Mösch, Anja

Validity of machine learning in biology and medicine increased through collaborations across fields of expertise

Littmann, M., Selig, K., Cohen-Lavi, L., Frank, Y., Hönigschmid, P., Kataka, E., Mösch, A., Qian, K., Ron, A., Schmid, S., et al. (2020) · Nature Machine Intelligence

Interdisciplinary Research and Collaborationscientometrics and bibliometrics research

Cited by 70

Assessing the Generalization Capabilities of TCR Binding Predictors via Peptide Distance Analysis

Castorina, L. V., Grazioli, F., Machart, P., Mösch, A., & Errica, F. (2023) · PLoS ONE

vaccines and immunoinformatics approachesMachine Learning in Bioinformatics

Cited by 7

Assessing the generalization capabilities of TCR binding predictors via peptide distance analysis

Castorina, L. V., Grazioli, F., Machart, P., Mösch, A., & Errica, F. (2025) · PLOS One

vaccines and immunoinformatics approachesMachine Learning in Bioinformatics

Cited by 7