BMC Bioinformatics

Table 1 Prediction results by means of sensitivity and PPV

From: Evaluating the effect of disturbed ensemble distributions on SCFG based statistical sampling of RNA secondary structures

				(a)For our tRNA database
Approach	Errors	MP struct.		MF struct.		MEA struct.		Centroid
		Sens.	PPV	Sens.	PPV	Sens.	PPV	Sens.	PPV
SCFG	—	0.7818	0.8437	0.7792	0.8445	0.7324	0.8939	0.6754	0.9158
	mep (0.5)	0.7822	0.8447	0.7599	0.8370	0.7169	0.8927	0.6607	0.9140
	mep (0.99)	0.7590	0.8388	0.6768	0.8004	0.6414	0.8877	0.5817	0.9127
	fep (0.5)	0.7798	0.8440	0.7234	0.8184	0.6864	0.8896	0.6292	0.9134
	fep (0.99)	0.4101	0.7295	0.2864	0.5590	0.2532	0.7776	0.2157	0.8291
LSCFG	—	0.8545	0.9534	0.8542	0.9535	0.8335	0.9736	0.8250	0.9783
	mep (0.5)	0.8545	0.9534	0.8429	0.9524	0.8236	0.9731	0.8150	0.9773
	mep (0.99)	0.8519	0.9533	0.7988	0.9413	0.7833	0.9676	0.7735	0.9726
	fep (0.5)	0.8548	0.9536	0.8224	0.9486	0.8029	0.9707	0.7940	0.9758
	fep (0.99)	0.7530	0.9325	0.5769	0.8623	0.5668	0.9075	0.5567	0.9195
				(b) For our 5S rRNA database
Approach	Errors	MP struct.		MF struct.		MEA struct.		Centroid
		Sens.	PPV	Sens.	PPV	Sens.	PPV	Sens.	PPV
SCFG	—	0.4251	0.5372	0.4251	0.5363	0.3403	0.6967	0.2689	0.8044
	mep (0.5)	0.4143	0.5280	0.4160	0.5290	0.3334	0.6987	0.2643	0.8051
	mep (0.99)	0.3897	0.5227	0.3894	0.5216	0.2957	0.7069	0.2362	0.8072
	fep (0.5)	0.4055	0.5203	0.4049	0.5198	0.3209	0.7068	0.2532	0.8087
	fep (0.99)	0.2043	0.4410	0.1756	0.3788	0.1066	0.6867	0.0814	0.7666
LSCFG	—	0.8993	0.9412	0.8997	0.9409	0.8959	0.9513	0.8873	0.9574
	mep (0.5)	0.8993	0.9412	0.8909	0.9380	0.8903	0.9478	0.8819	0.9541
	mep (0.99)	0.8989	0.9414	0.8639	0.9269	0.8659	0.9408	0.8574	0.9482
	fep (0.5)	0.8993	0.9412	0.8796	0.9328	0.8798	0.9445	0.8716	0.9515
	fep (0.99)	0.8251	0.9052	0.7162	0.8375	0.7148	0.8661	0.6986	0.8879

All values have been computed by 10-fold cross-validation procedures, using sample size 1000 and min_hel= min_HL= 1.

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