Next-generation algorithms for neoantigen selection
A Hopkins, E Jaffee - Nature Reviews Gastroenterology & Hepatology, 2018 - nature.com
A Hopkins, E Jaffee
Nature Reviews Gastroenterology & Hepatology, 2018•nature.comPredicting clinical outcomes in cancer using neoantigen burden is imperfect because
current algorithms use only the binding affinity of putative neoantigens to HLA. A new study
models pancreatic tumour response through a deeper understanding of tumour
immunology, providing new tools for identifying neoantigens and characteristics that define
their quality.
current algorithms use only the binding affinity of putative neoantigens to HLA. A new study
models pancreatic tumour response through a deeper understanding of tumour
immunology, providing new tools for identifying neoantigens and characteristics that define
their quality.
Predicting clinical outcomes in cancer using neoantigen burden is imperfect because current algorithms use only the binding affinity of putative neoantigens to HLA. A new study models pancreatic tumour response through a deeper understanding of tumour immunology, providing new tools for identifying neoantigens and characteristics that define their quality.
nature.com