Constructing the boundary between potent and ineffective siRNAs by MG-algorithm with C-features

BMC Bioinformatics

Table 2 The results of TN,FN, TP and FP of different test sets

Data	Algorithm	TN	FN	TP	FP
Test data	I-iteration	228	14	98	5
20 test-i sets	I-iteration	210.3*	21.7*	95.5*	7.5*
20 test-i sets	Score-Level	180.7*	51.3*	87.7*	15.3*
20 test-i sets	ThermoComposition-21	152.4*	79.6*	85.8*	17.2*
20 test-i sets	DSIR	145.8*	86.2*	83.5*	19.5*
20 test-i sets	i-score	141.3*	90.7*	84.3*	18.7*
20 test-i sets	Biopredsi	137.9*	94.1*	83.2*	19.8*
test-a data	I-iteration	231	11	99	4
test-b data	I-iteration	235	7	96	7
test-c data	I-iteration	218	24	100	3
test-d data	I-iteration	224	18	97	6

Column headers are defined as the same paper
*Are the average value of TN,FN, TP and FP of these 20 test-i sets, respectively

ISSN: 1471-2105