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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAwolf RSpredict(seed)
MCC 0.499 > 0.231
Average MCC ± 95% Confidence Intervals 0.522 ± 0.175 > 0.170 ± 0.188
Sensitivity 0.490 > 0.123
Positive Predictive Value 0.524 > 0.455
Total TP 119 > 30
Total TN 15993 < 16154
Total FP 134 > 37
Total FP CONTRA 20 > 8
Total FP INCONS 88 > 28
Total FP COMP 26 > 1
Total FN 124 < 213
P-value 7.1398907247e-09

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Performance plots


  1. Comparison of performance of RNAwolf and RSpredict(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 RNAwolf and RSpredict(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 RNAwolf and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAwolf and RSpredict(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 RNAwolf and RSpredict(seed)).

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Performance of RNAwolf - scored higher in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 119
Total TN 15993
Total FP 134
Total FP CONTRA 20
Total FP INCONS 88
Total FP COMP 26
Total FN 124
Total Scores
MCC 0.499
Average MCC ± 95% Confidence Intervals 0.522 ± 0.175
Sensitivity 0.490
Positive Predictive Value 0.524
Nr of predictions 11

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2. Individual counts for RNAwolf [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 9 512 7 0 7 0 9
3AMU_B 0.77 0.79 0.75 15 1137 8 0 5 3 4
3J16_L 0.58 0.57 0.60 12 1139 9 2 6 1 9
3RKF_A 0.89 0.83 0.95 20 845 1 0 1 0 4
3SD1_A 0.58 0.59 0.59 17 1504 12 2 10 0 12
3UZL_B 0.93 0.88 1.00 14 1279 7 0 0 7 2
4A1C_3 0.32 0.30 0.35 11 2732 21 1 19 1 26
4A1C_2 0.12 0.15 0.10 3 4487 38 12 14 12 17
4AOB_A 0.26 0.24 0.30 7 1414 17 2 14 1 22
4ENB_A 0.45 0.40 0.55 6 461 5 1 4 0 9
4ENC_A 0.34 0.33 0.38 5 483 9 0 8 1 10

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

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

Total Base Pair Counts
Total TP 30
Total TN 16154
Total FP 37
Total FP CONTRA 8
Total FP INCONS 28
Total FP COMP 1
Total FN 213
Total Scores
MCC 0.231
Average MCC ± 95% Confidence Intervals 0.170 ± 0.188
Sensitivity 0.123
Positive Predictive Value 0.455
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
3AMU_B -0.01 0.00 0.00 0 1155 2 0 2 0 19
3J16_L 0.00 0.00 0.00 0 1158 1 0 1 0 21
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3UZL_B -0.01 0.00 0.00 0 1287 6 3 3 0 16
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12

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