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(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(seed) MCFold
MCC 0.546 > 0.412
Average MCC ± 95% Confidence Intervals 0.548 ± 0.226 > 0.468 ± 0.234
Sensitivity 0.409 < 0.438
Positive Predictive Value 0.734 > 0.393
Total TP 113 < 121
Total TN 50350 > 50196
Total FP 56 < 215
Total FP CONTRA 4 < 37
Total FP INCONS 37 < 150
Total FP COMP 15 < 28
Total FN 163 > 155
P-value 0.0

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 113
Total TN 50350
Total FP 56
Total FP CONTRA 4
Total FP INCONS 37
Total FP COMP 15
Total FN 163
Total Scores
MCC 0.546
Average MCC ± 95% Confidence Intervals 0.548 ± 0.226
Sensitivity 0.409
Positive Predictive Value 0.734
Nr of predictions 9

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1530 10 0 10 0 20
3A3A_A 0.70 0.49 1.00 18 3637 0 0 0 0 19
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25

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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 121
Total TN 50196
Total FP 215
Total FP CONTRA 37
Total FP INCONS 150
Total FP COMP 28
Total FN 155
Total Scores
MCC 0.412
Average MCC ± 95% Confidence Intervals 0.468 ± 0.234
Sensitivity 0.438
Positive Predictive Value 0.393
Nr of predictions 9

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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
2KDQ_B 0.95 0.91 1.00 10 396 1 0 0 1 1
2LC8_A 0.41 0.45 0.39 9 1517 16 0 14 2 11
3A3A_A 0.89 0.86 0.91 32 3620 3 1 2 0 5
3IVN_B 0.39 0.39 0.40 12 2316 18 0 18 0 19
3JYX_4 0.20 0.24 0.17 8 12199 43 16 23 4 25
3O58_3 0.22 0.26 0.19 9 12355 45 9 30 6 26
3RKF_A 0.70 0.65 0.76 22 2182 7 1 6 0 12
3SD1_A 0.33 0.33 0.35 14 3876 26 0 26 0 28
4A1C_2 0.13 0.15 0.11 5 11735 56 10 31 15 28

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