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SVM can efficiently classify time-dependent changes in CDR3 repertoire following immunization. A subsample of q = 10 000 triplets (p = 3) was taken from each mouse to generate a frequency distribution over the code words and train and test a leave-one-out linear SVM. This was repeated 100 times, and the proportion of these repetitions classified as each of the four classes is shown
