CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	MXScarna(20)		Vsfold4
MCC	0.703	>	0.545
Average MCC ± 95% Confidence Intervals	0.698 ± 0.114	>	0.588 ± 0.174
Sensitivity	0.659	>	0.526
Positive Predictive Value	0.755	>	0.572
Total TP	299	>	239
Total TN	51867	>	51845
Total FP	147	<	213
Total FP CONTRA	49	>	42
Total FP INCONS	48	<	137
Total FP COMP	50	>	34
Total FN	155	<	215
P-value	2.43573297697e-08

Comparison of performance of MXScarna(20) and Vsfold4. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for MXScarna(20) and Vsfold4).
Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for MXScarna(20) and Vsfold4).
Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(20) and Vsfold4. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for MXScarna(20) and Vsfold4).

Total Scores
MCC	0.703
Average MCC ± 95% Confidence Intervals	0.698 ± 0.114
Sensitivity	0.659
Positive Predictive Value	0.755
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
3A2K_C	tRNA links to Rfam database...	0.74	0.73	0.76	16	1087	6	1	4	1	6
3GX2_A	SAM links to Rfam database...	0.81	0.79	0.85	22	1423	6	2	2	2	6
3IVN_B	Purine links to Rfam database...	0.81	0.74	0.89	17	884	2	2	0	0	6
3IZ4_A	tmRNA links to Rfam database...	0.58	0.54	0.63	51	25455	35	18	12	5	44
3JYV_7	tRNA links to Rfam database...	0.95	0.90	1.00	18	1093	2	0	0	2	2
3LA5_A	Purine links to Rfam database...	0.87	0.80	0.95	20	933	1	1	0	0	5
3NPB_A	SAM links to Rfam database...	0.77	0.73	0.82	27	2245	9	2	4	3	10
3O58_3	5_8S_rRNA links to Rfam database...	0.62	0.59	0.65	13	4744	18	5	2	11	9
3PDR_A	ykoK links to Rfam database...	0.85	0.82	0.89	41	4794	9	2	3	4	9
3RKF_A	Purine links to Rfam database...	0.86	0.75	1.00	18	848	0	0	0	0	6
3SD1_A	THF links to Rfam database...	0.74	0.76	0.73	22	1503	9	6	2	1	7
4A1C_2	5_8S_rRNA links to Rfam database...	0.22	0.25	0.21	5	4492	36	8	11	17	15
4AOB_A	SAM links to Rfam database...	0.68	0.69	0.69	20	1408	13	2	7	4	9
4ENB_A	crcB links to Rfam database...	0.29	0.13	0.67	2	469	1	0	1	0	13
4ENC_A	crcB links to Rfam database...	0.68	0.47	1.00	7	489	0	0	0	0	8

Total Scores
MCC	0.545
Average MCC ± 95% Confidence Intervals	0.588 ± 0.174
Sensitivity	0.526
Positive Predictive Value	0.572
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
3A2K_C	tRNA links to Rfam database...	0.95	0.91	1.00	20	1088	0	0	0	0	2
3GX2_A	SAM links to Rfam database...	0.60	0.57	0.64	16	1424	10	0	9	1	12
3IVN_B	Purine links to Rfam database...	0.91	0.83	1.00	19	884	0	0	0	0	4
3IZ4_A	tmRNA links to Rfam database...	0.39	0.39	0.39	37	25441	63	15	43	5	58
3JYV_7	tRNA links to Rfam database...	-0.02	0.00	0.00	0	1092	19	4	15	0	20
3LA5_A	Purine links to Rfam database...	0.91	0.84	1.00	21	933	0	0	0	0	4
3NPB_A	SAM links to Rfam database...	0.66	0.59	0.73	22	2248	10	0	8	2	15
3O58_3	5_8S_rRNA links to Rfam database...	0.12	0.14	0.11	3	4737	35	8	16	11	19
3PDR_A	ykoK links to Rfam database...	0.69	0.64	0.74	32	4797	13	3	8	2	18
3RKF_A	Purine links to Rfam database...	0.91	0.83	1.00	20	846	0	0	0	0	4
3SD1_A	THF links to Rfam database...	0.23	0.24	0.24	7	1504	22	5	17	0	22
4A1C_2	5_8S_rRNA links to Rfam database...	0.36	0.40	0.33	8	4492	28	4	12	12	12
4AOB_A	SAM links to Rfam database...	0.50	0.48	0.54	14	1411	13	3	9	1	15
4ENB_A	crcB links to Rfam database...	0.85	0.73	1.00	11	461	0	0	0	0	4
4ENC_A	crcB links to Rfam database...	0.77	0.60	1.00	9	487	0	0	0	0	6

Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.