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

  1. Overview

  2. Performance Plots

  3. Performance of Afold - scored higher in this pairwise comparison

  4. Performance of RNASampler(seed) - scored lower in this pairwise comparison

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


Overview

Metric Afold RNASampler(seed)
MCC 0.822 > 0.770
Average MCC ± 95% Confidence Intervals 0.847 ± 0.133 > 0.767 ± 0.143
Sensitivity 0.851 > 0.699
Positive Predictive Value 0.798 < 0.853
Total TP 269 > 221
Total TN 21871 < 21949
Total FP 128 > 61
Total FP CONTRA 27 > 15
Total FP INCONS 41 > 23
Total FP COMP 60 > 23
Total FN 47 < 95
P-value 2.86595104665e-08

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Performance plots


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

  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 Afold and RNASampler(seed)).

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

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Performance of Afold - scored higher in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP 269
Total TN 21871
Total FP 128
Total FP CONTRA 27
Total FP INCONS 41
Total FP COMP 60
Total FN 47
Total Scores
MCC 0.822
Average MCC ± 95% Confidence Intervals 0.847 ± 0.133
Sensitivity 0.851
Positive Predictive Value 0.798
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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2L1F_A 0.98 1.00 0.96 23 739 1 0 1 0 0
2L1F_B 0.98 1.00 0.96 24 766 1 0 1 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.64 0.61 0.69 11 512 6 0 5 1 7
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
3JYX_4 0.61 0.83 0.45 10 4734 35 10 2 23 2
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
4A1C_2 0.19 0.25 0.15 5 4483 43 11 17 15 15

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

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

Total Base Pair Counts
Total TP 221
Total TN 21949
Total FP 61
Total FP CONTRA 15
Total FP INCONS 23
Total FP COMP 23
Total FN 95
Total Scores
MCC 0.770
Average MCC ± 95% Confidence Intervals 0.767 ± 0.143
Sensitivity 0.699
Positive Predictive Value 0.853
Nr of predictions 16

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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 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.94 0.89 1.00 16 451 1 0 0 1 2
2KUR_A 0.94 0.89 1.00 17 450 0 0 0 0 2
2KUU_A 0.94 0.89 1.00 16 431 1 0 0 1 2
2KUV_A 0.94 0.89 1.00 17 422 0 0 0 0 2
2KUW_A 0.94 0.89 1.00 16 454 1 0 0 1 2
2L1F_A 0.83 0.70 1.00 16 747 0 0 0 0 7
2L1F_B 0.84 0.71 1.00 17 774 0 0 0 0 7
2L94_A 0.70 0.56 0.91 10 346 2 0 1 1 8
2LC8_A -0.03 0.00 0.00 0 518 10 0 10 0 18
3A3A_A 0.77 0.60 1.00 18 1482 0 0 0 0 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.70 0.83 0.59 10 4739 13 6 1 6 2
3O58_3 0.54 0.50 0.58 11 4745 13 5 3 5 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12

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