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

  1. Overview

  2. Performance Plots

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

  4. Performance of Vsfold4 - scored lower in this pairwise comparison

  5. Compile and download dataset for Murlet(20) & Vsfold4 [.zip] - may take several seconds...


Overview

Metric Murlet(20) Vsfold4
MCC 0.666 > 0.545
Average MCC ± 95% Confidence Intervals 0.679 ± 0.114 > 0.588 ± 0.174
Sensitivity 0.548 > 0.526
Positive Predictive Value 0.814 > 0.572
Total TP 249 > 239
Total TN 51957 > 51845
Total FP 79 < 213
Total FP CONTRA 17 < 42
Total FP INCONS 40 < 137
Total FP COMP 22 < 34
Total FN 205 < 215
P-value 2.06323189071e-08

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Performance plots


  1. Comparison of performance of Murlet(20) and Vsfold4. 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 Murlet(20) and Vsfold4).

  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 Murlet(20) and Vsfold4).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) and Vsfold4. 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 Murlet(20) and Vsfold4).

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

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

Total Base Pair Counts
Total TP 249
Total TN 51957
Total FP 79
Total FP CONTRA 17
Total FP INCONS 40
Total FP COMP 22
Total FN 205
Total Scores
MCC 0.666
Average MCC ± 95% Confidence Intervals 0.679 ± 0.114
Sensitivity 0.548
Positive Predictive Value 0.814
Nr of predictions 15

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2. Individual counts for Murlet(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 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 239
Total TN 51845
Total FP 213
Total FP CONTRA 42
Total FP INCONS 137
Total FP COMP 34
Total FN 215
Total Scores
MCC 0.545
Average MCC ± 95% Confidence Intervals 0.588 ± 0.174
Sensitivity 0.526
Positive Predictive Value 0.572
Nr of predictions 15

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2. Individual counts for Vsfold4 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3GX2_A 0.60 0.57 0.64 16 1424 10 0 9 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.39 0.39 0.39 37 25441 63 15 43 5 58
3JYV_7 -0.02 0.00 0.00 0 1092 19 4 15 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.66 0.59 0.73 22 2248 10 0 8 2 15
3O58_3 0.12 0.14 0.11 3 4737 35 8 16 11 19
3PDR_A 0.69 0.64 0.74 32 4797 13 3 8 2 18
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.23 0.24 0.24 7 1504 22 5 17 0 22
4A1C_2 0.36 0.40 0.33 8 4492 28 4 12 12 12
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 0 0 0 0 4
4ENC_A 0.77 0.60 1.00 9 487 0 0 0 0 6

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