CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidFold RSpredict(seed)
MCC 0.687 > 0.498
Average MCC ± 95% Confidence Intervals 0.699 ± 0.093 > 0.253 ± 0.108
Sensitivity 0.681 > 0.359
Positive Predictive Value 0.694 > 0.693
Total TP 838 > 441
Total TN 521739 < 522310
Total FP 494 > 269
Total FP CONTRA 132 > 42
Total FP INCONS 237 > 153
Total FP COMP 125 > 74
Total FN 392 < 789
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of CentroidFold and RSpredict(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 CentroidFold and RSpredict(seed)).

  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 CentroidFold and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidFold and RSpredict(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 CentroidFold and RSpredict(seed)).

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Performance of CentroidFold - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 838
Total TN 521739
Total FP 494
Total FP CONTRA 132
Total FP INCONS 237
Total FP COMP 125
Total FN 392
Total Scores
MCC 0.687
Average MCC ± 95% Confidence Intervals 0.699 ± 0.093
Sensitivity 0.681
Positive Predictive Value 0.694
Nr of predictions 30

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.51 0.39 0.70 7 518 3 1 2 0 11
2ZZN_D 0.93 0.95 0.91 21 961 3 2 0 1 1
3A2K_C 0.49 0.55 0.46 12 1082 14 3 11 0 10
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3GX2_A 0.94 0.89 1.00 25 1424 1 0 0 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.29 0.39 0.22 20 22347 86 39 34 13 31
3IZ4_A 0.60 0.57 0.64 54 25451 38 16 15 7 41
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J20_2 0.70 0.69 0.70 286 421962 177 23 97 57 126
3J3D_C 0.73 0.79 0.68 15 946 7 3 4 0 4
3J3E_8 0.12 0.13 0.13 2 2726 22 4 10 8 13
3J3F_8 0.36 0.47 0.28 9 4729 37 12 11 14 10
3JYV_7 0.92 0.85 1.00 17 1094 2 0 0 2 3
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.87 0.84 0.91 31 2244 8 1 2 5 6
3O58_3 0.44 0.41 0.47 9 4745 11 1 9 1 13
3PDR_A 0.88 0.86 0.90 43 4792 7 2 3 2 7
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.70 0.69 0.71 20 1505 8 4 4 0 9
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.95 0.91 1.00 30 1959 1 0 0 1 3
3ZEX_C 0.48 0.34 0.67 10 5359 6 1 4 1 19
4A1C_2 0.22 0.25 0.19 5 4490 29 9 12 8 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 1 0 0 1 4
4ENC_A 0.85 0.73 1.00 11 485 1 0 0 1 4
4FRG_B 0.75 0.71 0.81 17 1181 4 3 1 0 7
4FRN_A 0.80 0.71 0.91 20 1826 2 1 1 0 8
4JF2_A 0.89 0.79 1.00 19 1063 0 0 0 0 5

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

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

Total Base Pair Counts
Total TP 441
Total TN 522310
Total FP 269
Total FP CONTRA 42
Total FP INCONS 153
Total FP COMP 74
Total FN 789
Total Scores
MCC 0.498
Average MCC ± 95% Confidence Intervals 0.253 ± 0.108
Sensitivity 0.359
Positive Predictive Value 0.693
Nr of predictions 30

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IYQ_A 0.16 0.10 0.26 5 22421 21 10 4 7 46
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3J20_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J20_2 0.77 0.76 0.78 312 421966 152 18 72 62 100
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W1K_J 0.57 0.35 0.92 11 1666 1 0 1 0 20
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12
4FRG_B -0.01 0.00 0.00 0 1200 2 0 2 0 24
4FRN_A 0.00 0.00 0.00 0 1845 3 0 3 0 28
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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