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 0.547 > 0.236
Average MCC ± 95% Confidence Intervals 0.553 ± 0.154 > 0.197 ± 0.135
Sensitivity 0.452 > 0.108
Positive Predictive Value 0.667 > 0.524
Total TP 230 > 55
Total TN 80337 < 80577
Total FP 151 > 52
Total FP CONTRA 16 > 4
Total FP INCONS 99 > 46
Total FP COMP 36 > 2
Total FN 279 < 454
P-value 2.78993384543e-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 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 RSpredict(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 55
Total TN 80577
Total FP 52
Total FP CONTRA 4
Total FP INCONS 46
Total FP COMP 2
Total FN 454
Total Scores
MCC 0.236
Average MCC ± 95% Confidence Intervals 0.197 ± 0.135
Sensitivity 0.108
Positive Predictive Value 0.524
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 0.57 0.50 0.67 10 975 5 0 5 0 10
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3W1K_J 0.51 0.29 0.92 11 4174 1 0 1 0 27
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16
4FRN_A 0.00 0.00 0.00 0 5148 3 0 3 0 36
4JF2_A 0.00 0.00 0.00 0 2846 4 0 4 0 31

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