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

  1. Overview

  2. Performance Plots

  3. Performance of PPfold(20) - scored higher in this pairwise comparison

  4. Performance of TurboFold(20) - scored lower in this pairwise comparison

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


Overview

Metric PPfold(20) TurboFold(20)
MCC 0.691 > 0.655
Average MCC ± 95% Confidence Intervals 0.679 ± 0.109 > 0.670 ± 0.108
Sensitivity 0.544 > 0.529
Positive Predictive Value 0.881 > 0.816
Total TP 288 > 280
Total TN 74040 > 74024
Total FP 49 < 82
Total FP CONTRA 0 < 5
Total FP INCONS 39 < 58
Total FP COMP 10 < 19
Total FN 241 < 249
P-value 2.02510705504e-08

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Performance plots


  1. Comparison of performance of PPfold(20) and TurboFold(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 PPfold(20) and TurboFold(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 PPfold(20) and TurboFold(20)).

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

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Performance of PPfold(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 288
Total TN 74040
Total FP 49
Total FP CONTRA 0
Total FP INCONS 39
Total FP COMP 10
Total FN 241
Total Scores
MCC 0.691
Average MCC ± 95% Confidence Intervals 0.679 ± 0.109
Sensitivity 0.544
Positive Predictive Value 0.881
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.63 0.45 0.90 9 980 1 0 1 0 11
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.84 0.70 1.00 21 2829 0 0 0 0 9
3J2L_3 0.78 0.62 0.97 33 7841 3 0 1 2 20
3RKF_A 0.73 0.56 0.95 19 2191 1 0 1 0 15
3SD1_A 0.68 0.52 0.88 22 3891 3 0 3 0 20
3ZEX_C 0.33 0.21 0.52 11 14175 12 0 10 2 41
3ZEX_D 0.81 0.71 0.92 35 6983 3 0 3 0 14
4A1C_3 0.77 0.63 0.94 34 7104 2 0 2 0 20
4A1C_2 0.21 0.15 0.29 5 11764 16 0 12 4 28
4AOB_A 0.74 0.60 0.93 25 4344 3 0 2 1 17
4ENB_A 0.56 0.37 0.88 7 1267 1 0 1 0 12
4ENC_A 0.58 0.42 0.80 8 1316 2 0 2 0 11
4FRG_B 0.73 0.56 0.95 18 3467 1 0 1 0 14

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

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

Total Base Pair Counts
Total TP 280
Total TN 74024
Total FP 82
Total FP CONTRA 5
Total FP INCONS 58
Total FP COMP 19
Total FN 249
Total Scores
MCC 0.655
Average MCC ± 95% Confidence Intervals 0.670 ± 0.108
Sensitivity 0.529
Positive Predictive Value 0.816
Nr of predictions 15

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2. Individual counts for TurboFold(20) [ 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
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.66 0.57 0.77 17 2828 6 0 5 1 13
3J2L_3 0.74 0.58 0.94 31 7842 5 0 2 3 22
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
3ZEX_D 0.76 0.63 0.91 31 6987 3 0 3 0 18
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4A1C_2 0.18 0.15 0.21 5 11757 28 0 19 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
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11

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