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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold RSpredict(20)
MCC 0.609 > 0.585
Average MCC ± 95% Confidence Intervals 0.589 ± 0.124 > 0.564 ± 0.144
Sensitivity 0.583 > 0.534
Positive Predictive Value 0.642 < 0.649
Total TP 339 > 310
Total TN 68001 < 68051
Total FP 268 > 210
Total FP CONTRA 61 < 73
Total FP INCONS 128 > 95
Total FP COMP 79 > 42
Total FN 242 < 271
P-value 1.18380060481e-06

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Performance plots


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

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

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 339
Total TN 68001
Total FP 268
Total FP CONTRA 61
Total FP INCONS 128
Total FP COMP 79
Total FN 242
Total Scores
MCC 0.609
Average MCC ± 95% Confidence Intervals 0.589 ± 0.124
Sensitivity 0.583
Positive Predictive Value 0.642
Nr of predictions 21

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2. Individual counts for Sfold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3GX2_A 0.86 0.79 0.96 22 1426 2 1 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.59 0.56 0.63 53 25452 34 14 17 3 42
3J20_0 0.51 0.57 0.48 12 1194 14 3 10 1 9
3J3D_C 0.44 0.37 0.54 7 955 6 1 5 0 12
3J3E_8 0.10 0.13 0.08 2 2718 32 6 16 10 13
3J3F_8 0.39 0.47 0.33 9 4734 37 8 10 19 10
3JYV_7 -0.02 0.00 0.00 0 1095 16 2 14 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.85 0.78 0.94 29 2247 7 0 2 5 8
3O58_3 0.51 0.50 0.52 11 4743 18 2 8 8 11
3PDR_A 0.82 0.80 0.85 40 4793 9 2 5 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.78 0.72 0.84 21 1508 4 2 2 0 8
3ZEX_C 0.41 0.34 0.50 10 5354 27 2 8 17 19
4A1C_2 0.21 0.25 0.19 5 4489 34 8 14 12 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10
4FRG_B 0.67 0.58 0.78 14 1184 4 3 1 0 10

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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 310
Total TN 68051
Total FP 210
Total FP CONTRA 73
Total FP INCONS 95
Total FP COMP 42
Total FN 271
Total Scores
MCC 0.585
Average MCC ± 95% Confidence Intervals 0.564 ± 0.144
Sensitivity 0.534
Positive Predictive Value 0.649
Nr of predictions 21

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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
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J3D_C 0.82 0.84 0.80 16 948 4 3 1 0 3
3J3E_8 -0.01 0.00 0.00 0 2724 19 5 13 1 15
3J3F_8 0.42 0.47 0.38 9 4737 26 9 6 11 10
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
3ZEX_C 0.34 0.31 0.38 9 5350 19 3 12 4 20
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
4FRG_B 0.19 0.13 0.33 3 1193 6 1 5 0 21

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