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Our training data set covers many uncommon and ethnic-specific alleles within HLA loci, substantially raising predictive accuracies concerning the testing of data sets.
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A two-tailed Mann-Whitney test of data sets against a respective wild-type control construct data set were performed using Prism 5 (GraphPad Software, La Jolla, CA).
Since each model has arbitrary parameters, we tested a number of data sets using several different parameter settings.
The developed framework is tested on data sets of thirty different problems.
The algorithm has been tested on a number of data sets obtained from the literature.
Student's T-test was used for comparisons of data sets as indicated.
Statistical significance was determined with Student's test comparison between two groups of data sets.
The distribution of data sets was tested using the Kolmogorov-Smirnov normality test.
A Tukey post-hoc test was used for pairwise comparison of data sets.
For comparison of data, sets were tested for normal distribution.
Unpaired t-test was used for routine comparison of data sets.
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