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 Fold - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(20) Fold
MCC 0.631 > 0.526
Average MCC ± 95% Confidence Intervals 0.638 ± 0.128 > 0.476 ± 0.140
Sensitivity 0.562 = 0.562
Positive Predictive Value 0.714 > 0.499
Total TP 260 = 260
Total TN 62640 > 62483
Total FP 162 < 348
Total FP CONTRA 42 < 86
Total FP INCONS 62 < 175
Total FP COMP 58 < 87
Total FN 203 = 203
P-value 2.7402423548e-08

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Performance plots


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

  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 Fold).

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

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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 260
Total TN 62640
Total FP 162
Total FP CONTRA 42
Total FP INCONS 62
Total FP COMP 58
Total FN 203
Total Scores
MCC 0.631
Average MCC ± 95% Confidence Intervals 0.638 ± 0.128
Sensitivity 0.562
Positive Predictive Value 0.714
Nr of predictions 16

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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
3IZ4_A 0.52 0.41 0.65 39 25476 26 15 6 5 56
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
3NPB_A 0.75 0.57 1.00 21 2257 5 0 0 5 16
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
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 Fold - scored lower in this pairwise comparison

1. Total counts & total scores for Fold

Total Base Pair Counts
Total TP 260
Total TN 62483
Total FP 348
Total FP CONTRA 86
Total FP INCONS 175
Total FP COMP 87
Total FN 203
Total Scores
MCC 0.526
Average MCC ± 95% Confidence Intervals 0.476 ± 0.140
Sensitivity 0.562
Positive Predictive Value 0.499
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3IZ4_A 0.60 0.61 0.59 58 25437 47 16 25 6 37
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J3D_C 0.47 0.53 0.43 10 945 13 5 8 0 9
3J3E_8 -0.01 0.00 0.00 0 2719 34 5 18 11 15
3J3F_8 0.32 0.42 0.25 8 4729 41 12 12 17 11
3NPB_A 0.77 0.73 0.82 27 2245 11 0 6 5 10
3O58_3 0.39 0.50 0.31 11 4728 41 9 16 16 11
3PDR_A 0.93 0.92 0.94 46 4791 5 1 2 2 4
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.68 0.69 0.69 20 1504 9 4 5 0 9
3ZEX_C 0.28 0.34 0.23 10 5330 46 9 25 12 19
4A1C_2 0.19 0.25 0.15 5 4482 43 11 18 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.37 0.33 0.45 5 461 7 0 6 1 10
4ENC_A 0.36 0.33 0.42 5 484 8 0 7 1 10
4FRG_B 0.22 0.25 0.23 6 1176 20 7 13 0 18

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