CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	Vsfold4		CMfinder(seed)
MCC	0.392	>	0.343
Average MCC ± 95% Confidence Intervals	0.398 ± 0.072	>	0.348 ± 0.069
Sensitivity	0.361	>	0.157
Positive Predictive Value	0.429	<	0.750
Total TP	468	>	204
Total TN	810048	<	810867
Total FP	685	>	68
Total FP CONTRA	98	>	3
Total FP INCONS	525	>	65
Total FP COMP	62	>	0
Total FN	830	<	1094
P-value	2.28439804626e-08

Comparison of performance of Vsfold4 and CMfinder(seed). 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 Vsfold4 and CMfinder(seed)).
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 Vsfold4 and CMfinder(seed)).
Comparison of average Matthews Correlation Coefficients (MCCs) for Vsfold4 and CMfinder(seed). 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 Vsfold4 and CMfinder(seed)).

Total Scores
MCC	0.392
Average MCC ± 95% Confidence Intervals	0.398 ± 0.072
Sensitivity	0.361
Positive Predictive Value	0.429
Nr of predictions	13

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
CRW_00016	Intron_gpI links to Rfam database...	0.53	0.46	0.61	55	77331	44	4	31	9	65
CRW_00610	Intron_gpI links to Rfam database...	0.40	0.36	0.46	29	36252	37	5	29	3	52
CRW_00613	Intron_gpI links to Rfam database...	0.48	0.42	0.54	33	34919	34	2	26	6	45
CRW_00618	Intron_gpI links to Rfam database...	0.33	0.31	0.35	19	56225	57	6	30	21	42
CRW_00633	Intron_gpI links to Rfam database...	0.38	0.35	0.42	37	63457	52	6	46	0	69
CRW_00634	Intron_gpI links to Rfam database...	0.29	0.28	0.30	26	64533	68	8	53	7	68
CRW_00670	Intron_gpI links to Rfam database...	0.37	0.34	0.41	41	70025	60	3	56	1	79
CRW_00671	Intron_gpI links to Rfam database...	0.55	0.50	0.60	59	62736	40	2	38	0	58
CRW_00672	Intron_gpI links to Rfam database...	0.30	0.29	0.32	32	72291	71	14	53	4	79
CRW_00674	Intron_gpI links to Rfam database...	0.29	0.26	0.33	32	83339	67	8	57	2	92
CRW_00676	Intron_gpI links to Rfam database...	0.34	0.34	0.34	39	93413	80	20	56	4	76
CRW_00692	Intron_gpI links to Rfam database...	0.26	0.24	0.28	22	68555	62	20	38	4	68
PDB_00827	Intron_gpI links to Rfam database...	0.65	0.54	0.79	44	26972	13	0	12	1	37

Total Scores
MCC	0.343
Average MCC ± 95% Confidence Intervals	0.348 ± 0.069
Sensitivity	0.157
Positive Predictive Value	0.750
Nr of predictions	13

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
CRW_00016	Intron_gpI links to Rfam database...	0.36	0.14	0.89	17	77402	2	0	2	0	103
CRW_00610	Intron_gpI links to Rfam database...	0.49	0.31	0.78	25	36283	7	1	6	0	56
CRW_00613	Intron_gpI links to Rfam database...	0.54	0.33	0.87	26	34950	4	0	4	0	52
CRW_00618	Intron_gpI links to Rfam database...	0.36	0.13	1.00	8	56272	0	0	0	0	53
CRW_00633	Intron_gpI links to Rfam database...	0.32	0.12	0.81	13	63530	3	1	2	0	93
CRW_00634	Intron_gpI links to Rfam database...	0.40	0.17	0.94	16	64603	1	0	1	0	78
CRW_00670	Intron_gpI links to Rfam database...	0.32	0.18	0.55	22	70085	18	0	18	0	98
CRW_00671	Intron_gpI links to Rfam database...	0.20	0.09	0.41	11	62808	16	0	16	0	106
CRW_00672	Intron_gpI links to Rfam database...	0.38	0.15	0.94	17	72372	1	0	1	0	94
CRW_00674	Intron_gpI links to Rfam database...	0.40	0.17	0.95	21	83414	1	0	1	0	103
CRW_00676	Intron_gpI links to Rfam database...	0.12	0.04	0.33	5	93513	10	1	9	0	110
CRW_00692	Intron_gpI links to Rfam database...	0.41	0.17	1.00	15	68620	0	0	0	0	75
PDB_00827	Intron_gpI links to Rfam database...	0.25	0.10	0.62	8	27015	5	0	5	0	73

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