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Strength in numbers: achieving greater accuracy in MHC-I binding prediction by combining the results from multiple prediction tools

Brett Trost email, Mik Bickis email and Anthony Kusalik email

Departments of Computer Science and Mathematics & Statistics, University of Saskatchewan, Saskatchewan, Canada

author email corresponding author email

Immunome Research 2007, 3:5doi:10.1186/1745-7580-3-5

Published: 24 March 2007

Additional files

Additional File 1:

Literature-derived HLA-A*0201 binders and non-binders. List of HLA-A*0201 binding and non-binding peptides gathered from the literature. The papers from which these peptides were derived are cited in the text.

Format: PDF Size: 23KB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional File 2:

HLA-B*3501 LDA Q-Q plot. Q-Q plot showing distribution of LDA scores for the H-2Kd dataset from the community binding resource. The horizontal axis has been scaled according to normal probabilities, so that points from a normally distributed variable would fall along a straight line (shown in blue). Scores lying above the thresholds indicated would be classified as epitopes. The realized sensitivity of 0.44 for a specificity of 0.95 is indicated as the proportion of epitopes whose scores lie above the threshold of 0.95. Of the four datasets used, this one deviates most strongly from normality.

Format: PDF Size: 21KB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional File 3:

H-2Kd LDA Q-Q plot. Q-Q plot showing distribution of LDA scores for the H-2Kd dataset from the community binding resource. The horizontal axis has been scaled according to normal probabilities, so that points from a normally distributed variable would fall along a straight line (shown in blue). Scores lying above the thresholds indicated would be classified as epitopes. The realized sensitivity of 0.42 for a specificity of 0.99 is indicated as the proportion of epitopes whose scores lie above the threshold of 0.99. Only the nominal values for specificity are used, since the actual ones coincide or are better.

Format: PDF Size: 13KB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional File 4:

HLA-A*0201 (literature) LDA Q-Q plot. Q-Q plot showing distribution of LDA scores for the HLA-A*0201 dataset derived from literature. The horizontal axis has been scaled according to normal probabilities, so that points from a normally distributed variable would fall along a straight line (shown in blue). Scores lying above the thresholds indicated would be classified as epitopes. The realized sensitivity of 0.33 for a specificity of 0.95 is indicated as the proportion of epitopes whose scores lie above the threshold of 0.95. Of the four datasets used, this one best fits the normality assumption.

Format: PDF Size: 14KB Download file

This file can be viewed with: Adobe Acrobat Reader


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