Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning
Abstract Machine learning (ML) has shown great potential in the adaptive immune receptor
repertoire (AIRR) field. However, there is a lack of large-scale ground-truth experimental …
repertoire (AIRR) field. However, there is a lack of large-scale ground-truth experimental …
AIRIVA: a deep generative model of adaptive immune repertoires
Recent advances in immunomics have shown that T-cell receptor (TCR) signatures can
accurately predict active or recent infection by leveraging the high specificity of TCR binding …
accurately predict active or recent infection by leveraging the high specificity of TCR binding …