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 MXScarna(20) - scored lower in this pairwise comparison

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


Overview

Metric CentroidFold MXScarna(20)
MCC 0.716 > 0.703
Average MCC ± 95% Confidence Intervals 0.733 ± 0.126 > 0.698 ± 0.114
Sensitivity 0.687 > 0.659
Positive Predictive Value 0.750 < 0.755
Total TP 312 > 299
Total TN 51847 < 51867
Total FP 133 < 147
Total FP CONTRA 39 < 49
Total FP INCONS 65 > 48
Total FP COMP 29 < 50
Total FN 142 < 155
P-value 4.187960932e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidFold and MXScarna(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 MXScarna(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 MXScarna(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 299
Total TN 51867
Total FP 147
Total FP CONTRA 49
Total FP INCONS 48
Total FP COMP 50
Total FN 155
Total Scores
MCC 0.703
Average MCC ± 95% Confidence Intervals 0.698 ± 0.114
Sensitivity 0.659
Positive Predictive Value 0.755
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.74 0.73 0.76 16 1087 6 1 4 1 6
3GX2_A 0.81 0.79 0.85 22 1423 6 2 2 2 6
3IVN_B 0.81 0.74 0.89 17 884 2 2 0 0 6
3IZ4_A 0.58 0.54 0.63 51 25455 35 18 12 5 44
3JYV_7 0.95 0.90 1.00 18 1093 2 0 0 2 2
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.77 0.73 0.82 27 2245 9 2 4 3 10
3O58_3 0.62 0.59 0.65 13 4744 18 5 2 11 9
3PDR_A 0.85 0.82 0.89 41 4794 9 2 3 4 9
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3SD1_A 0.74 0.76 0.73 22 1503 9 6 2 1 7
4A1C_2 0.22 0.25 0.21 5 4492 36 8 11 17 15
4AOB_A 0.68 0.69 0.69 20 1408 13 2 7 4 9
4ENB_A 0.29 0.13 0.67 2 469 1 0 1 0 13
4ENC_A 0.68 0.47 1.00 7 489 0 0 0 0 8

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