Robert Frank

This study evaluates active learning strategies for antibody-antigen binding prediction in library-on-library settings, finding three algorithms that significantly improve efficiency and reduce experimental costs.

immuneML provides an open-source ecosystem for reproducible and interoperable machine learning analysis of adaptive immune receptor repertoires, demonstrating its utility through benchmarking and novel methods.