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

  1. Overview

  2. Performance Plots

  3. Performance of CentroidFold - scored higher in this pairwise comparison

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

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


Overview

Metric CentroidFold RSpredict(20)
MCC 0.716 > 0.624
Average MCC ± 95% Confidence Intervals 0.733 ± 0.126 > 0.613 ± 0.166
Sensitivity 0.687 > 0.559
Positive Predictive Value 0.750 > 0.702
Total TP 312 > 254
Total TN 51847 < 51901
Total FP 133 = 133
Total FP CONTRA 39 < 51
Total FP INCONS 65 > 57
Total FP COMP 29 > 25
Total FN 142 < 200
P-value 2.97012568641e-08

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Performance plots


  1. Comparison of performance of CentroidFold 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 CentroidFold 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 CentroidFold and RSpredict(20)).

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

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Performance of CentroidFold - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 312
Total TN 51847
Total FP 133
Total FP CONTRA 39
Total FP INCONS 65
Total FP COMP 29
Total FN 142
Total Scores
MCC 0.716
Average MCC ± 95% Confidence Intervals 0.733 ± 0.126
Sensitivity 0.687
Positive Predictive Value 0.750
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
3A2K_C 0.49 0.55 0.46 12 1082 14 3 11 0 10
3GX2_A 0.94 0.89 1.00 25 1424 1 0 0 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.60 0.57 0.64 54 25451 38 16 15 7 41
3JYV_7 0.92 0.85 1.00 17 1094 2 0 0 2 3
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.87 0.84 0.91 31 2244 8 1 2 5 6
3O58_3 0.44 0.41 0.47 9 4745 11 1 9 1 13
3PDR_A 0.88 0.86 0.90 43 4792 7 2 3 2 7
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.70 0.69 0.71 20 1505 8 4 4 0 9
4A1C_2 0.22 0.25 0.19 5 4490 29 9 12 8 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 1 0 0 1 4
4ENC_A 0.85 0.73 1.00 11 485 1 0 0 1 4

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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 254
Total TN 51901
Total FP 133
Total FP CONTRA 51
Total FP INCONS 57
Total FP COMP 25
Total FN 200
Total Scores
MCC 0.624
Average MCC ± 95% Confidence Intervals 0.613 ± 0.166
Sensitivity 0.559
Positive Predictive Value 0.702
Nr of predictions 15

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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
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3IZ4_A 0.61 0.57 0.67 54 25455 38 13 14 11 41
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9

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