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

  1. Overview

  2. Performance Plots

  3. Performance of MXScarna(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric MXScarna(seed) Afold
MCC 0.678 > 0.539
Average MCC ± 95% Confidence Intervals 0.654 ± 0.148 > 0.590 ± 0.166
Sensitivity 0.619 > 0.585
Positive Predictive Value 0.747 > 0.504
Total TP 292 > 276
Total TN 72300 > 72143
Total FP 165 < 342
Total FP CONTRA 50 < 110
Total FP INCONS 49 < 162
Total FP COMP 66 < 70
Total FN 180 < 196
P-value 3.16042554876e-08

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Performance plots


  1. Comparison of performance of MXScarna(seed) and Afold. 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 MXScarna(seed) and Afold).

  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 MXScarna(seed) and Afold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and Afold. 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 MXScarna(seed) and Afold).

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Performance of MXScarna(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 292
Total TN 72300
Total FP 165
Total FP CONTRA 50
Total FP INCONS 49
Total FP COMP 66
Total FN 180
Total Scores
MCC 0.678
Average MCC ± 95% Confidence Intervals 0.654 ± 0.148
Sensitivity 0.619
Positive Predictive Value 0.747
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 518 12 0 10 2 18
2ZZN_D 0.95 0.91 1.00 20 964 0 0 0 0 2
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3A3A_A 0.84 0.77 0.92 23 1475 4 0 2 2 7
3IVN_B 0.69 0.57 0.87 13 888 2 2 0 0 10
3IYQ_A 0.44 0.47 0.41 24 22382 49 21 13 15 27
3IZ4_A 0.73 0.64 0.82 61 25462 22 12 1 9 34
3J3E_8 0.23 0.20 0.27 3 2731 14 3 5 6 12
3JYV_7 0.95 0.90 1.00 18 1093 2 0 0 2 2
3LA5_A 0.82 0.72 0.95 18 935 1 1 0 0 7
3NPB_A 0.76 0.70 0.84 26 2247 10 2 3 5 11
3O58_3 0.54 0.50 0.58 11 4745 20 5 3 12 11
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3W3S_B 0.74 0.70 0.79 23 1960 7 0 6 1 10
4A1C_2 0.45 0.40 0.50 8 4500 20 4 4 12 12
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9

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Performance of Afold - scored lower in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP 276
Total TN 72143
Total FP 342
Total FP CONTRA 110
Total FP INCONS 162
Total FP COMP 70
Total FN 196
Total Scores
MCC 0.539
Average MCC ± 95% Confidence Intervals 0.590 ± 0.166
Sensitivity 0.585
Positive Predictive Value 0.504
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.64 0.61 0.69 11 512 6 0 5 1 7
2ZZN_D 0.91 0.91 0.91 20 962 3 2 0 1 2
3A2K_C 0.46 0.50 0.44 11 1083 14 3 11 0 11
3A3A_A 0.93 0.87 1.00 26 1474 0 0 0 0 4
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.23 0.33 0.17 17 22339 97 47 37 13 34
3IZ4_A 0.52 0.57 0.48 54 25423 63 27 32 4 41
3J3E_8 0.26 0.33 0.21 5 2718 31 6 13 12 10
3JYV_7 -0.02 0.00 0.00 0 1088 23 4 19 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.82 0.73 0.93 27 2249 6 0 2 4 10
3O58_3 0.41 0.50 0.34 11 4732 38 6 15 17 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3W3S_B 0.55 0.55 0.56 18 1957 15 4 10 1 15
4A1C_2 0.19 0.25 0.15 5 4483 43 11 17 15 15
4ENB_A 0.81 0.73 0.92 11 460 3 0 1 2 4

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