Table 2 Comparisons of average performance on the 8 real datasets, the bold numbers are the best results among three algorithms

From: A particle swarm optimization-based algorithm for finding gapped motifs

	GAME			GALFP			PSO+
	*Precision*	*Recall*	*F-score*	*Precision*	*Recall*	*F-score*	*Precision*	*Recall*	*F-score*
CREB	0.43	0.42	0.42	0.70	0.84	0.76	0.76	0.68	0.72
CRP	0.79	0.78	0.78	0.99	0.73	0.84	1	0.78	0.88
ERE	0.52	0.78	0.62	0.82	0.76	0.79	0.92	0.92	0.92
E2F	0.79	0.87	0.83	0.77	0.85	0.81	0.68	0.7	0.69
MEF2	0.52	0.55	0.53	0.91	0.98	0.95	1	1	1
MYOD	0.14	0.14	0.14	0.57	1	0.72	0.20	0.43	0.27
SRF	0.71	0.86	0.78	0.75	0.89	0.82	0.80	0.56	0.66
TBP	0.81	0.74	0.77	0.87	0.87	0.87	0.86	0.91	0.88

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ISSN: 1756-0381

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