CompaRNA - on-line benchmarks of RNA structure prediction methods
Home

Methods
Datasets
Rankings
RNA 2D Atlas

Help
FAQ

Contact us
RSS feeds
Twitter

Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of McQFold - scored higher in this pairwise comparison

  4. Performance of RSpredict(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for McQFold & RSpredict(20) [.zip] - may take several seconds...


Overview

Metric McQFold RSpredict(20)
MCC 0.644 > 0.624
Average MCC ± 95% Confidence Intervals 0.682 ± 0.181 > 0.613 ± 0.166
Sensitivity 0.643 > 0.559
Positive Predictive Value 0.650 < 0.702
Total TP 292 > 254
Total TN 51814 < 51901
Total FP 182 > 133
Total FP CONTRA 55 > 51
Total FP INCONS 102 > 57
Total FP COMP 25 = 25
Total FN 162 < 200
P-value 2.09795090663e-05

^top




Performance plots


  1. Comparison of performance of McQFold and RSpredict(20). 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 McQFold and RSpredict(20)).

  2. 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 McQFold and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for McQFold and RSpredict(20). 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 McQFold and RSpredict(20)).

^top





Performance of McQFold - scored higher in this pairwise comparison

1. Total counts & total scores for McQFold

Total Base Pair Counts
Total TP 292
Total TN 51814
Total FP 182
Total FP CONTRA 55
Total FP INCONS 102
Total FP COMP 25
Total FN 162
Total Scores
MCC 0.644
Average MCC ± 95% Confidence Intervals 0.682 ± 0.181
Sensitivity 0.643
Positive Predictive Value 0.650
Nr of predictions 15

^top



2. Individual counts for McQFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3GX2_A 0.56 0.57 0.57 16 1421 13 4 8 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.46 0.46 0.47 44 25442 56 14 36 6 51
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.90 0.81 1.00 30 2248 5 0 0 5 7
3O58_3 0.30 0.36 0.25 8 4732 27 15 9 3 14
3PDR_A 0.83 0.80 0.87 40 4794 9 2 4 3 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.82 0.83 0.83 24 1504 5 1 4 0 5
4A1C_2 0.19 0.25 0.16 5 4484 33 11 16 6 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0

^top



Performance of RSpredict(20) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(20)

Total Base Pair Counts
Total TP 254
Total TN 51901
Total FP 133
Total FP CONTRA 51
Total FP INCONS 57
Total FP COMP 25
Total FN 200
Total Scores
MCC 0.624
Average MCC ± 95% Confidence Intervals 0.613 ± 0.166
Sensitivity 0.559
Positive Predictive Value 0.702
Nr of predictions 15

^top



2. Individual counts for RSpredict(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3IZ4_A 0.61 0.57 0.67 54 25455 38 13 14 11 41
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9

^top


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