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(20) - scored higher in this pairwise comparison

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

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


Overview

Metric MXScarna(20) Contrafold
MCC 0.703 > 0.650
Average MCC ± 95% Confidence Intervals 0.698 ± 0.114 > 0.653 ± 0.163
Sensitivity 0.659 > 0.652
Positive Predictive Value 0.755 > 0.655
Total TP 299 > 296
Total TN 51867 > 51811
Total FP 147 < 187
Total FP CONTRA 49 < 58
Total FP INCONS 48 < 98
Total FP COMP 50 > 31
Total FN 155 < 158
P-value 2.02510705504e-08

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Performance plots


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

  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(20) and Contrafold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(20) and Contrafold. 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(20) and Contrafold).

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Performance of MXScarna(20) - scored higher 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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Performance of Contrafold - scored lower in this pairwise comparison

1. Total counts & total scores for Contrafold

Total Base Pair Counts
Total TP 296
Total TN 51811
Total FP 187
Total FP CONTRA 58
Total FP INCONS 98
Total FP COMP 31
Total FN 158
Total Scores
MCC 0.650
Average MCC ± 95% Confidence Intervals 0.653 ± 0.163
Sensitivity 0.652
Positive Predictive Value 0.655
Nr of predictions 15

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2. Individual counts for Contrafold [ 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 0.93 0.89 0.96 25 1423 2 1 0 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.57 0.58 0.57 55 25440 49 18 23 8 40
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.86 0.84 0.89 31 2243 9 1 3 5 6
3O58_3 0.32 0.36 0.29 8 4736 21 7 13 1 14
3PDR_A 0.83 0.86 0.80 43 4786 13 5 6 2 7
3RKF_A 0.87 0.83 0.91 20 844 2 2 0 0 4
3SD1_A 0.68 0.69 0.69 20 1504 9 5 4 0 9
4A1C_2 0.21 0.25 0.19 5 4489 33 9 13 11 15
4AOB_A 0.53 0.52 0.56 15 1410 13 3 9 1 14
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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.