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Figure 3 | BMC Bioinformatics

Figure 3

From: Integrating peptides' sequence and energy of contact residues information improves prediction of peptide and HLA-I binding with unknown alleles

Figure 3

Methods comparison. According to the results in the table 1, we divide results into HLA-A class group (a) and HLA-B class group (b) and order them in ascendance based on the peptide number to measure the correlation between scale of dataset and classification accuracy. The panels from left to right and up to down are the linear fitting between the peptide number (x axis) and accuracy (y axis) on five methods: ANNBM, ARB, SMM, NetMHC, and Other methods. The right down picture is the standard deviation of the classification accuracy. We could see ANNBM gets the smallest slope rate and standard deviation, which proves that ANNBM is most independent with dataset scale and stable.

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BMC Bioinformatics

ISSN: 1471-2105

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