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

  1. Overview

  2. Performance Plots

  3. Performance of TurboFold(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric TurboFold(seed) CentroidFold
MCC 0.547 > 0.514
Average MCC ± 95% Confidence Intervals 0.553 ± 0.154 > 0.537 ± 0.138
Sensitivity 0.452 > 0.413
Positive Predictive Value 0.667 > 0.646
Total TP 230 > 210
Total TN 80337 < 80357
Total FP 151 > 135
Total FP CONTRA 16 < 21
Total FP INCONS 99 > 94
Total FP COMP 36 > 20
Total FN 279 < 299
P-value 2.71568867205e-08

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Performance plots


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

  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 TurboFold(seed) and CentroidFold).

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

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Performance of TurboFold(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 230
Total TN 80337
Total FP 151
Total FP CONTRA 16
Total FP INCONS 99
Total FP COMP 36
Total FN 279
Total Scores
MCC 0.547
Average MCC ± 95% Confidence Intervals 0.553 ± 0.154
Sensitivity 0.452
Positive Predictive Value 0.667
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
3J3E_8 0.17 0.15 0.21 5 7479 28 2 17 9 28
3J3F_8 0.39 0.36 0.42 13 12215 32 2 16 14 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.59 0.48 0.74 20 3889 7 1 6 0 22
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3ZEX_C 0.39 0.27 0.56 14 14171 14 2 9 3 38
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4A1C_2 0.15 0.15 0.15 5 11748 37 3 25 9 28
4AOB_A 0.56 0.40 0.77 17 4349 6 1 4 1 25
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRN_A 0.69 0.56 0.87 20 5128 3 1 2 0 16
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12

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Performance of CentroidFold - scored lower in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 210
Total TN 80357
Total FP 135
Total FP CONTRA 21
Total FP INCONS 94
Total FP COMP 20
Total FN 299
Total Scores
MCC 0.514
Average MCC ± 95% Confidence Intervals 0.537 ± 0.138
Sensitivity 0.413
Positive Predictive Value 0.646
Nr of predictions 15

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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
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2LC8_A 0.49 0.35 0.70 7 1530 3 1 2 0 13
3J3E_8 0.00 0.00 0.00 0 7485 21 2 16 3 33
3J3F_8 0.34 0.33 0.34 12 12211 34 4 19 11 24
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.58 0.48 0.71 20 3888 8 1 7 0 22
3W1K_J 0.56 0.50 0.63 19 4156 11 2 9 0 19
3ZEX_C 0.47 0.27 0.82 14 14179 3 1 2 0 38
4A1C_3 0.67 0.56 0.81 30 7103 7 1 6 0 24
4A1C_2 0.16 0.15 0.17 5 11752 29 5 19 5 28
4AOB_A 0.45 0.33 0.61 14 4348 10 1 8 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.73 0.58 0.92 11 1314 1 1 0 0 8
4FRN_A 0.40 0.28 0.59 10 5134 7 2 5 0 26
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12

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