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

  1. Overview

  2. Performance Plots

  3. Performance of RNASampler(20) - scored higher in this pairwise comparison

  4. Performance of IPknot - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(20) IPknot
MCC 0.628 > 0.536
Average MCC ± 95% Confidence Intervals 0.633 ± 0.169 > 0.541 ± 0.166
Sensitivity 0.583 > 0.525
Positive Predictive Value 0.683 > 0.557
Total TP 151 > 136
Total TN 25365 > 25342
Total FP 107 < 145
Total FP CONTRA 21 < 37
Total FP INCONS 49 < 71
Total FP COMP 37 = 37
Total FN 108 < 123
P-value 8.5281770229e-09

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Performance plots


  1. Comparison of performance of RNASampler(20) and IPknot. 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(20) and IPknot).

  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 RNASampler(20) and IPknot).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) and IPknot. 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(20) and IPknot).

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Performance of RNASampler(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 151
Total TN 25365
Total FP 107
Total FP CONTRA 21
Total FP INCONS 49
Total FP COMP 37
Total FN 108
Total Scores
MCC 0.628
Average MCC ± 95% Confidence Intervals 0.633 ± 0.169
Sensitivity 0.583
Positive Predictive Value 0.683
Nr of predictions 12

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 0.19 0.20 0.19 3 2726 21 5 8 8 12
3J3F_8 0.43 0.47 0.39 9 4738 20 6 8 6 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
3ZEX_C 0.35 0.31 0.39 9 5351 21 3 11 7 20
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4
4FRG_B 0.64 0.54 0.76 13 1185 4 0 4 0 11

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Performance of IPknot - scored lower in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 136
Total TN 25342
Total FP 145
Total FP CONTRA 37
Total FP INCONS 71
Total FP COMP 37
Total FN 123
Total Scores
MCC 0.536
Average MCC ± 95% Confidence Intervals 0.541 ± 0.166
Sensitivity 0.525
Positive Predictive Value 0.557
Nr of predictions 12

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J3D_C 0.52 0.53 0.53 10 949 9 3 6 0 9
3J3E_8 -0.01 0.00 0.00 0 2723 25 5 14 6 15
3J3F_8 0.36 0.47 0.28 9 4729 40 11 12 17 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.74 0.69 0.80 20 1508 5 0 5 0 9
3ZEX_C 0.51 0.34 0.77 10 5361 7 1 2 4 19
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 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 0 0 0 0 4
4ENC_A 0.59 0.53 0.67 8 484 4 0 4 0 7
4FRG_B 0.75 0.71 0.81 17 1181 4 3 1 0 7

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