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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RDfolder RSpredict(seed)
MCC 0.600 > 0.447
Average MCC ± 95% Confidence Intervals 0.577 ± 0.209 > 0.373 ± 0.193
Sensitivity 0.543 > 0.280
Positive Predictive Value 0.679 < 0.737
Total TP 163 > 84
Total TN 13101 < 13227
Total FP 79 > 31
Total FP CONTRA 15 > 3
Total FP INCONS 62 > 27
Total FP COMP 2 > 1
Total FN 137 < 216
P-value 1.64481516727e-08

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Performance plots


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

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

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Performance of RDfolder - scored higher in this pairwise comparison

1. Total counts & total scores for RDfolder

Total Base Pair Counts
Total TP 163
Total TN 13101
Total FP 79
Total FP CONTRA 15
Total FP INCONS 62
Total FP COMP 2
Total FN 137
Total Scores
MCC 0.600
Average MCC ± 95% Confidence Intervals 0.577 ± 0.209
Sensitivity 0.543
Positive Predictive Value 0.679
Nr of predictions 13

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2. Individual counts for RDfolder [ 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 0 514 14 3 11 0 18
2ZZN_D 0.93 0.95 0.91 21 961 2 2 0 0 1
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3A3A_A 0.59 0.50 0.71 15 1479 6 0 6 0 15
3GX2_A 0.60 0.57 0.64 16 1424 10 2 7 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.35 0.24 0.54 7 1520 6 1 5 0 22
4AOB_A 0.42 0.38 0.48 11 1414 13 3 9 1 18
4ENB_A 0.48 0.40 0.60 6 462 4 0 4 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 0 4 0 9

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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 84
Total TN 13227
Total FP 31
Total FP CONTRA 3
Total FP INCONS 27
Total FP COMP 1
Total FN 216
Total Scores
MCC 0.447
Average MCC ± 95% Confidence Intervals 0.373 ± 0.193
Sensitivity 0.280
Positive Predictive Value 0.737
Nr of predictions 13

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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
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
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
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.