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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold RNASampler(seed)
MCC 0.827 > 0.765
Average MCC ± 95% Confidence Intervals 0.832 ± 0.119 > 0.764 ± 0.134
Sensitivity 0.820 > 0.687
Positive Predictive Value 0.840 < 0.859
Total TP 283 > 237
Total TN 23404 < 23465
Total FP 93 > 62
Total FP CONTRA 19 > 15
Total FP INCONS 35 > 24
Total FP COMP 39 > 23
Total FN 62 < 108
P-value 4.78774507289e-09

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Performance plots


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

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

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 283
Total TN 23404
Total FP 93
Total FP CONTRA 19
Total FP INCONS 35
Total FP COMP 39
Total FN 62
Total Scores
MCC 0.827
Average MCC ± 95% Confidence Intervals 0.832 ± 0.119
Sensitivity 0.820
Positive Predictive Value 0.840
Nr of predictions 17

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2. Individual counts for Sfold [ 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 0.94 0.94 17 449 2 0 1 1 1
2KUR_A 0.95 0.95 0.95 18 448 1 0 1 0 1
2KUU_A 0.94 0.94 0.94 17 429 2 0 1 1 1
2KUV_A 0.94 0.95 0.95 18 420 1 0 1 0 1
2KUW_A 0.94 0.94 0.94 17 452 2 0 1 1 1
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.46 0.39 0.58 7 516 5 0 5 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.68 0.83 0.56 10 4738 23 7 1 15 2
3O58_3 0.51 0.50 0.52 11 4743 18 2 8 8 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.78 0.72 0.84 21 1508 4 2 2 0 8
4A1C_2 0.21 0.25 0.19 5 4489 34 8 14 12 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 237
Total TN 23465
Total FP 62
Total FP CONTRA 15
Total FP INCONS 24
Total FP COMP 23
Total FN 108
Total Scores
MCC 0.765
Average MCC ± 95% Confidence Intervals 0.764 ± 0.134
Sensitivity 0.687
Positive Predictive Value 0.859
Nr of predictions 17

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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
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
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.