BioinformaticsFrontiers in ImmunologyPeer-reviewed
MotifBoost: k-mer based data-efficient immune repertoire classification method
Yotaro Katayama, Tetsuya Kobayashi
MotifBoost is a k-mer based method for immune repertoire classification that performs well on small datasets and provides stable results compared to deep learning methods.