BMC Bioinformatics

Table 4 Prediction accuracies for an independent dataset

From: Predicting MHC class I epitopes in large datasets

	Allele	Binders	Non-Binders	Total	DynaPredPOS	NetMHC	SVMHC	YKW
		*(n)*	*(n)*	*(n)*	*AUC*	*AUC*	*AUC*	*AUC*
1	A*0201	33	143	176	0.92	0.94	0.82	0.93
2	A*0301	11	165	176	0.77	0.92	0.70	0.85
3	A*1101	17	159	176	0.84	0.89	0.72	0.83
4	A*2402	37	139	176	0.90	0.78	0.90	0.64
5	B*0702	9	167	176	0.86	0.98	0.72	0.68
6	B*0801	10	166	176	0.97	0.92	0.97	0.61
7	B*1501	14	162	176	0.71	0.92	0.71	0.80
	Average AUC				0.85	0.90	0.79	0.76

A set of 176 novel peptides, generated and tested by Lin et al [15], were used to test the prediction accuracy of the four methods in this study. The average AUC for each method is included at the bottom of each column.

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ISSN: 1471-2105

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