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 0.594 > 0.409
Average MCC ± 95% Confidence Intervals 0.586 ± 0.175 > 0.330 ± 0.168
Sensitivity 0.544 > 0.257
Positive Predictive Value 0.666 < 0.671
Total TP 203 > 96
Total TN 17212 < 17374
Total FP 105 > 49
Total FP CONTRA 21 > 5
Total FP INCONS 81 > 42
Total FP COMP 3 > 2
Total FN 170 < 277
P-value 2.59578924681e-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 203
Total TN 17212
Total FP 105
Total FP CONTRA 21
Total FP INCONS 81
Total FP COMP 3
Total FN 170
Total Scores
MCC 0.594
Average MCC ± 95% Confidence Intervals 0.586 ± 0.175
Sensitivity 0.544
Positive Predictive Value 0.666
Nr of predictions 16

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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
3J20_0 0.82 0.76 0.89 16 1201 3 1 1 1 5
3J3D_C 0.76 0.79 0.75 15 948 5 3 2 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
3W3S_B 0.29 0.27 0.33 9 1962 18 2 16 0 24
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 96
Total TN 17374
Total FP 49
Total FP CONTRA 5
Total FP INCONS 42
Total FP COMP 2
Total FN 277
Total Scores
MCC 0.409
Average MCC ± 95% Confidence Intervals 0.330 ± 0.168
Sensitivity 0.257
Positive Predictive Value 0.671
Nr of predictions 16

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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
3J20_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
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
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
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.