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 0.708 > 0.660
Average MCC ± 95% Confidence Intervals 0.721 ± 0.101 > 0.644 ± 0.119
Sensitivity 0.697 > 0.590
Positive Predictive Value 0.724 < 0.745
Total TP 486 > 411
Total TN 74558 < 74677
Total FP 278 > 230
Total FP CONTRA 66 > 61
Total FP INCONS 119 > 80
Total FP COMP 93 > 89
Total FN 211 < 286
P-value 5.10776592382e-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 486
Total TN 74558
Total FP 278
Total FP CONTRA 66
Total FP INCONS 119
Total FP COMP 93
Total FN 211
Total Scores
MCC 0.708
Average MCC ± 95% Confidence Intervals 0.721 ± 0.101
Sensitivity 0.697
Positive Predictive Value 0.724
Nr of predictions 26

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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
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 0
2XKV_B 0.64 0.73 0.57 8 1821 27 0 6 21 3
2XQD_Y 0.83 0.81 0.85 17 1109 4 0 3 1 4
2XXA_G 0.13 0.11 0.17 4 2021 21 2 18 1 31
3A2K_C 0.49 0.55 0.46 12 1082 14 3 11 0 10
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
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
3IZF_C 0.89 0.91 0.86 32 2603 11 0 5 6 3
3JYV_7 0.92 0.85 1.00 17 1094 2 0 0 2 3
3JYX_3 0.35 0.47 0.27 7 2352 21 14 5 2 8
3JYX_4 0.41 0.58 0.29 7 4732 25 11 6 8 5
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_2 0.95 0.94 0.97 29 2724 7 0 1 6 2
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
4A1C_3 0.80 0.78 0.83 29 2728 8 0 6 2 8
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 411
Total TN 74677
Total FP 230
Total FP CONTRA 61
Total FP INCONS 80
Total FP COMP 89
Total FN 286
Total Scores
MCC 0.660
Average MCC ± 95% Confidence Intervals 0.644 ± 0.119
Sensitivity 0.590
Positive Predictive Value 0.745
Nr of predictions 26

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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
2L94_A 0.53 0.50 0.60 9 342 7 0 6 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.00 0.00 0.00 0 1831 4 1 3 0 11
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.69 0.53 0.91 10 1146 2 0 1 1 9
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
3IZF_C 0.94 0.91 0.97 32 2607 4 0 1 3 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.80 0.80 0.80 12 2363 16 0 3 13 3
3JYX_4 0.59 0.75 0.47 9 4737 33 9 1 23 3
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_2 0.93 0.94 0.94 29 2723 10 0 2 8 2
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
4A1C_3 0.60 0.49 0.75 18 2739 8 0 6 2 19
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.