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(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for TurboFold(seed) & RSpredict(20) [.zip] - may take several seconds...


Overview

Metric TurboFold(seed) RSpredict(20)
MCC 0.484 > 0.394
Average MCC ± 95% Confidence Intervals 0.504 ± 0.156 > 0.397 ± 0.163
Sensitivity 0.393 > 0.302
Positive Predictive Value 0.601 > 0.521
Total TP 143 > 110
Total TN 65727 < 65754
Total FP 131 > 116
Total FP CONTRA 12 < 15
Total FP INCONS 83 < 86
Total FP COMP 36 > 15
Total FN 221 < 254
P-value 1.06761512825e-08

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Performance plots


  1. Comparison of performance of TurboFold(seed) and RSpredict(20). 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(20)).

  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(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(seed) and RSpredict(20). 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(20)).

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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 143
Total TN 65727
Total FP 131
Total FP CONTRA 12
Total FP INCONS 83
Total FP COMP 36
Total FN 221
Total Scores
MCC 0.484
Average MCC ± 95% Confidence Intervals 0.504 ± 0.156
Sensitivity 0.393
Positive Predictive Value 0.601
Nr of predictions 10

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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
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
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

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Performance of RSpredict(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 110
Total TN 65754
Total FP 116
Total FP CONTRA 15
Total FP INCONS 86
Total FP COMP 15
Total FN 254
Total Scores
MCC 0.394
Average MCC ± 95% Confidence Intervals 0.397 ± 0.163
Sensitivity 0.302
Positive Predictive Value 0.521
Nr of predictions 10

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J3E_8 0.00 0.00 0.00 0 7484 19 4 15 0 33
3J3F_8 0.39 0.33 0.46 12 12220 23 2 12 9 24
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.68 0.60 0.78 25 3884 7 1 6 0 17
3ZEX_C 0.26 0.19 0.36 10 14168 18 2 16 0 42
4A1C_3 0.48 0.33 0.69 18 7114 8 0 8 0 36
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
4AOB_A 0.28 0.14 0.55 6 4360 5 0 5 0 36
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.45 0.32 0.67 6 1317 3 0 3 0 13

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