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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(20) MCFold
MCC 0.796 > 0.506
Average MCC ± 95% Confidence Intervals 0.789 ± 0.138 > 0.492 ± 0.144
Sensitivity 0.727 > 0.546
Positive Predictive Value 0.877 > 0.482
Total TP 213 > 160
Total TN 22769 > 22680
Total FP 58 < 208
Total FP CONTRA 9 < 51
Total FP INCONS 21 < 121
Total FP COMP 28 < 36
Total FN 80 < 133
P-value 1.96907987703e-08

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Performance plots


  1. Comparison of performance of RNASampler(20) and MCFold. 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 RNASampler(20) and MCFold).

  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 RNASampler(20) and MCFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) and MCFold. 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 RNASampler(20) and MCFold).

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

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

Total Base Pair Counts
Total TP 213
Total TN 22769
Total FP 58
Total FP CONTRA 9
Total FP INCONS 21
Total FP COMP 28
Total FN 80
Total Scores
MCC 0.796
Average MCC ± 95% Confidence Intervals 0.789 ± 0.138
Sensitivity 0.727
Positive Predictive Value 0.877
Nr of predictions 12

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2. Individual counts for RNASampler(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
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
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4

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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 160
Total TN 22680
Total FP 208
Total FP CONTRA 51
Total FP INCONS 121
Total FP COMP 36
Total FN 133
Total Scores
MCC 0.506
Average MCC ± 95% Confidence Intervals 0.492 ± 0.144
Sensitivity 0.546
Positive Predictive Value 0.482
Nr of predictions 12

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2. Individual counts for MCFold [ 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 0.58 0.61 0.57 17 1419 15 1 12 2 11
3IVN_B 0.45 0.48 0.46 11 879 14 5 8 1 12
3JYV_7 0.25 0.30 0.24 6 1086 20 8 11 1 14
3LA5_A 0.44 0.44 0.48 11 931 12 2 10 0 14
3O58_3 0.28 0.36 0.22 8 4727 39 14 15 10 14
3PDR_A 0.78 0.80 0.77 40 4788 14 5 7 2 10
3RKF_A 0.89 0.88 0.91 21 843 3 0 2 1 3
3SD1_A 0.43 0.45 0.43 13 1503 17 1 16 0 16
4A1C_2 0.18 0.25 0.14 5 4480 45 12 19 14 15
4ENB_A 0.78 0.73 0.85 11 459 4 0 2 2 4
4ENC_A 0.34 0.33 0.38 5 483 11 0 8 3 10

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