CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	RNASampler(seed)		MaxExpect
MCC	0.757	>	0.742
Average MCC ± 95% Confidence Intervals	0.748 ± 0.150	<	0.757 ± 0.182
Sensitivity	0.685	<	0.777
Positive Predictive Value	0.843	>	0.716
Total TP	209	<	237
Total TN	21819	>	21736
Total FP	62	<	143
Total FP CONTRA	15	<	38
Total FP INCONS	24	<	56
Total FP COMP	23	<	49
Total FN	96	>	68
P-value	2.56588588961e-07

Comparison of performance of RNASampler(seed) and MaxExpect. 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 RNASampler(seed) and MaxExpect).
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 RNASampler(seed) and MaxExpect).
Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and MaxExpect. 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 RNASampler(seed) and MaxExpect).

Total Scores
MCC	0.757
Average MCC ± 95% Confidence Intervals	0.748 ± 0.150
Sensitivity	0.685
Positive Predictive Value	0.843
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2KE6_A	K10_TLS links to Rfam database...	0.94	0.89	1.00	16	451	1	0	0	1	2
2KUR_A	K10_TLS links to Rfam database...	0.94	0.89	1.00	17	450	0	0	0	0	2
2KUU_A	K10_TLS links to Rfam database...	0.94	0.89	1.00	16	431	1	0	0	1	2
2KUV_A	K10_TLS links to Rfam database...	0.94	0.89	1.00	17	422	0	0	0	0	2
2KUW_A	K10_TLS links to Rfam database...	0.94	0.89	1.00	16	454	1	0	0	1	2
2L1F_A	Gammaretro_CES links to Rfam database...	0.83	0.70	1.00	16	747	0	0	0	0	7
2L1F_B	Gammaretro_CES links to Rfam database...	0.84	0.71	1.00	17	774	0	0	0	0	7
2L94_A	HIV_FE links to Rfam database...	0.70	0.56	0.91	10	346	2	0	1	1	8
2LC8_A	GP_knot1 links to Rfam database...	-0.03	0.00	0.00	0	518	10	0	10	0	18
3IVN_B	Purine links to Rfam database...	0.91	0.83	1.00	19	884	0	0	0	0	4
3JYX_4	5_8S_rRNA links to Rfam database...	0.70	0.83	0.59	10	4739	13	6	1	6	2
3O58_3	5_8S_rRNA links to Rfam database...	0.54	0.50	0.58	11	4745	13	5	3	5	11
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...	0.72	0.55	0.94	16	1516	1	0	1	0	13
4A1C_2	5_8S_rRNA links to Rfam database...	0.40	0.40	0.40	8	4496	20	4	8	8	12

Total Scores
MCC	0.742
Average MCC ± 95% Confidence Intervals	0.757 ± 0.182
Sensitivity	0.777
Positive Predictive Value	0.716
Nr of predictions	15

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2KE6_A	K10_TLS links to Rfam database...	0.94	0.94	0.94	17	449	2	0	1	1	1
2KUR_A	K10_TLS links to Rfam database...	0.95	0.95	0.95	18	448	1	0	1	0	1
2KUU_A	K10_TLS links to Rfam database...	0.94	0.94	0.94	17	429	2	0	1	1	1
2KUV_A	K10_TLS links to Rfam database...	0.94	0.95	0.95	18	420	1	0	1	0	1
2KUW_A	K10_TLS links to Rfam database...	0.94	0.94	0.94	17	452	2	0	1	1	1
2L1F_A	Gammaretro_CES links to Rfam database...	1.00	1.00	1.00	23	740	0	0	0	0	0
2L1F_B	Gammaretro_CES links to Rfam database...	1.00	1.00	1.00	24	767	0	0	0	0	0
2L94_A	HIV_FE links to Rfam database...	1.00	1.00	1.00	18	339	1	0	0	1	0
2LC8_A	GP_knot1 links to Rfam database...	-0.03	0.00	0.00	0	513	15	3	12	0	18
3IVN_B	Purine links to Rfam database...	0.91	0.83	1.00	19	884	0	0	0	0	4
3JYX_4	5_8S_rRNA links to Rfam database...	0.55	0.83	0.37	10	4729	34	14	3	17	2
3O58_3	5_8S_rRNA links to Rfam database...	0.40	0.50	0.33	11	4731	36	8	14	14	11
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...	0.70	0.69	0.71	20	1505	8	3	5	0	9
4A1C_2	5_8S_rRNA links to Rfam database...	0.19	0.25	0.16	5	4484	41	10	17	14	15

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