Efficient HLA imputation from sequential SNPs data by Transformer. (arXiv:2211.06430v1 [q-bio.GN])

Human leukocyte antigen (HLA) genes are associated with a variety of
diseases, however direct typing of HLA is time and cost consuming. Thus various
imputation methods using sequential SNPs data have been proposed based on
statistical or deep learning models, e.g. CNN-based model, named DEEP*HLA.
However, imputation efficiency is not sufficient for in frequent alleles and a
large size of reference panel is required. Here, we developed a
Transformer-based model to impute HLA alleles, named "HLA Reliable IMputatioN
by Transformer …

arxiv bio data imputation transformer