Although attempts to consolidate and make sense of the high-dimensional immunogenomic features that predict conditions of BCR repertoire is not a new concept, the vast majority of work of the currently available ML methods for immune receptor sequencing data have focused on the individual immune receptors in a repertoire, with the aim of, for example, predicting the antigen or antigen portion (epitope) to which these sequences bind, or to classify tumor tissue from normal tissue based on a single input sequence (52–55). Here, BCR is linked to neoplasm.