Discovering time-lagged rules from microarray data using gene profile classifiers

BMC Bioinformatics

Table 3 Average values for the metrics achieved by GRNCOP2 and GRNCOP

		GRNCOP2	GRNCOP	RANDOM
	average precision	84.50%	76.69%	51.58%
	average sensitivity	16.25%	28.13%	-
Yeastnet	average specificity	94.66%	82.43%	-
	average score	2.79	2.49	1.53033843
	average precision	84.13%	74.86%	43.68%
Co-citation	average sensitivity	19.02%	30.46%	-
	average specificity	95.28%	82.76%	-
	average score	2.91	2.50	1.3487118
	average precision	70.73%	52.25%	45.26%
GO	average sensitivity	13.93%	22.55%	-
	average specificity	91.48%	76.60%	-
average number of associations		20.84	43.73	-

Average precision, sensitivity, specificity and score values achieved by GRNCOP2 and GRNCOP over 56 runs. The precision and score of the random selection is also included. The bolded scores denote the best values.

ISSN: 1471-2105