CompaRNA - on-line benchmarks of RNA structure prediction methods

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Metric	MaxExpect		MCFold
MCC	0.652	>	0.493
Average MCC ± 95% Confidence Intervals	0.615 ± 0.149	>	0.476 ± 0.120
Sensitivity	0.652	>	0.529
Positive Predictive Value	0.662	>	0.473
Total TP	255	>	207
Total TN	27049	>	26996
Total FP	165	<	273
Total FP CONTRA	39	<	60
Total FP INCONS	91	<	171
Total FP COMP	35	<	42
Total FN	136	<	184
P-value	3.39090039918e-08

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

Total Scores
MCC	0.652
Average MCC ± 95% Confidence Intervals	0.615 ± 0.149
Sensitivity	0.652
Positive Predictive Value	0.662
Nr of predictions	17

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2LC8_A	GP_knot1 links to Rfam database...	-0.03	0.00	0.00	0	513	15	3	12	0	18
3A2K_C	tRNA links to Rfam database...	0.47	0.50	0.46	11	1084	13	3	10	0	11
3GX2_A	SAM links to Rfam database...	0.93	0.89	0.96	25	1423	2	1	0	1	3
3IVN_B	Purine links to Rfam database...	0.91	0.83	1.00	19	884	0	0	0	0	4
3IWN_A	c-di-GMP-I links to Rfam database...	0.80	0.79	0.81	22	1445	6	1	4	1	6
3J0L_a	-	0.39	0.36	0.44	4	402	6	4	1	1	7
3JYV_7	tRNA links to Rfam database...	0.48	0.45	0.53	9	1094	9	3	5	1	11
3LA5_A	Purine links to Rfam database...	0.91	0.84	1.00	21	933	0	0	0	0	4
3NKB_B	-	0.69	0.74	0.67	14	714	7	0	7	0	5
3O58_3	5_8S_rRNA links to Rfam database...	0.40	0.50	0.33	11	4731	36	8	14	14	11
3PDR_A	ykoK links to Rfam database...	0.92	0.90	0.94	45	4792	5	1	2	2	5
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
3U4M_B	-	0.58	0.59	0.59	13	1254	9	2	7	0	9
4A1C_2	5_8S_rRNA links to Rfam database...	0.19	0.25	0.16	5	4484	41	10	17	14	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...	0.36	0.33	0.42	5	484	8	0	7	1	10

Total Scores
MCC	0.493
Average MCC ± 95% Confidence Intervals	0.476 ± 0.120
Sensitivity	0.529
Positive Predictive Value	0.473
Nr of predictions	17

RNA Chain	Rfam family	MCC	SENS	PPV	TP	TN	FP	FP CONTRA	FP INCONS	FP COMP	FN
2LC8_A	GP_knot1 links to Rfam database...	0.44	0.44	0.47	8	511	10	0	9	1	10
3A2K_C	tRNA links to Rfam database...	0.49	0.55	0.46	12	1082	14	3	11	0	10
3GX2_A	SAM links to Rfam database...	0.58	0.61	0.57	17	1419	15	1	12	2	11
3IVN_B	Purine links to Rfam database...	0.45	0.48	0.46	11	879	14	5	8	1	12
3IWN_A	c-di-GMP-I links to Rfam database...	0.19	0.21	0.20	6	1442	24	5	19	0	22
3J0L_a	-	0.14	0.18	0.15	2	398	13	1	10	2	9
3JYV_7	tRNA links to Rfam database...	0.25	0.30	0.24	6	1086	20	8	11	1	14
3LA5_A	Purine links to Rfam database...	0.44	0.44	0.48	11	931	12	2	10	0	14
3NKB_B	-	0.68	0.74	0.64	14	713	8	2	6	0	5
3O58_3	5_8S_rRNA links to Rfam database...	0.28	0.36	0.22	8	4727	39	14	15	10	14
3PDR_A	ykoK links to Rfam database...	0.78	0.80	0.77	40	4788	14	5	7	2	10
3RKF_A	Purine links to Rfam database...	0.89	0.88	0.91	21	843	3	0	2	1	3
3SD1_A	THF links to Rfam database...	0.43	0.45	0.43	13	1503	17	1	16	0	16
3U4M_B	-	0.74	0.77	0.71	17	1252	10	1	6	3	5
4A1C_2	5_8S_rRNA links to Rfam database...	0.18	0.25	0.14	5	4480	45	12	19	14	15
4ENB_A	crcB links to Rfam database...	0.78	0.73	0.85	11	459	4	0	2	2	4
4ENC_A	crcB links to Rfam database...	0.34	0.33	0.38	5	483	11	0	8	3	10

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