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Overview of the HIBAG prediction algorithm. HIBAG is an ensemble classifier consisting of individual classifiers (Ck) with human leukocyte antigen (HLA) and single-nucleotide polymorphism (SNP) haplotype probabilities estimated from bootstrapped samples (Bk) and SNP subsets (Sk). The SNP subsets are determined by a variable selection algorithm with a random component. HLA-type predictions are averaged over the posterior probabilities from all classifiers.
