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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric TurboFold(seed) RSpredict(seed)
MCC 0.653 > 0.278
Average MCC ± 95% Confidence Intervals 0.639 ± 0.168 > 0.220 ± 0.151
Sensitivity 0.641 > 0.154
Positive Predictive Value 0.674 > 0.519
Total TP 225 > 54
Total TN 30119 < 30349
Total FP 156 > 53
Total FP CONTRA 36 > 10
Total FP INCONS 73 > 40
Total FP COMP 47 > 3
Total FN 126 < 297
P-value 1.11142658008e-08

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Performance plots


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

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

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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 225
Total TN 30119
Total FP 156
Total FP CONTRA 36
Total FP INCONS 73
Total FP COMP 47
Total FN 126
Total Scores
MCC 0.653
Average MCC ± 95% Confidence Intervals 0.639 ± 0.168
Sensitivity 0.641
Positive Predictive Value 0.674
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 0.94 0.94 0.94 17 339 2 0 1 1 1
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
3J3E_8 0.27 0.33 0.23 5 2720 28 6 11 11 10
3J3F_8 0.42 0.53 0.34 10 4732 35 9 10 16 9
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.71 0.69 0.74 20 1506 7 2 5 0 9
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3ZEX_C 0.49 0.45 0.54 13 5350 15 2 9 4 16
4A1C_3 0.86 0.84 0.89 31 2728 6 0 4 2 6
4A1C_2 0.20 0.25 0.17 5 4486 37 9 16 12 15
4AOB_A 0.67 0.59 0.77 17 1415 6 2 3 1 12
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRN_A 0.79 0.71 0.87 20 1825 3 1 2 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 54
Total TN 30349
Total FP 53
Total FP CONTRA 10
Total FP INCONS 40
Total FP COMP 3
Total FN 297
Total Scores
MCC 0.278
Average MCC ± 95% Confidence Intervals 0.220 ± 0.151
Sensitivity 0.154
Positive Predictive Value 0.519
Nr of predictions 15

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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
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
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
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
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
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
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.