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 PPfold(seed) - scored lower in this pairwise comparison

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


Overview

Metric RDfolder PPfold(seed)
MCC 0.371 > 0.121
Average MCC ± 95% Confidence Intervals 0.365 ± 0.171 > 0.047 ± 0.106
Sensitivity 0.281 > 0.020
Positive Predictive Value 0.503 < 0.750
Total TP 85 > 6
Total TN 27851 < 28012
Total FP 88 > 2
Total FP CONTRA 6 > 0
Total FP INCONS 78 > 2
Total FP COMP 4 > 0
Total FN 218 < 297
P-value 1.04628667909e-08

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Performance plots


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

  2. Comparison of performance of RDfolder and PPfold(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 PPfold(seed)).

  3. 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 PPfold(seed)).

  4. 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 PPfold(seed)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RDfolder and PPfold(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 PPfold(seed)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RDfolder and PPfold(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 PPfold(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 85
Total TN 27851
Total FP 88
Total FP CONTRA 6
Total FP INCONS 78
Total FP COMP 4
Total FN 218
Total Scores
MCC 0.371
Average MCC ± 95% Confidence Intervals 0.365 ± 0.171
Sensitivity 0.281
Positive Predictive Value 0.503
Nr of predictions 10

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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 -0.01 0.00 0.00 0 1526 14 2 12 0 20
3AMU_B 0.18 0.15 0.22 4 2985 16 2 12 2 23
3J16_L 0.22 0.17 0.31 5 2759 11 0 11 0 25
3J20_0 0.73 0.57 0.94 17 2832 2 0 1 1 13
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.30 0.17 0.54 7 3903 6 0 6 0 35
3W3S_B 0.27 0.23 0.33 9 4726 18 1 17 0 31
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ENB_A 0.43 0.32 0.60 6 1265 4 0 4 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 0 4 0 13

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

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

Total Base Pair Counts
Total TP 6
Total TN 28012
Total FP 2
Total FP CONTRA 0
Total FP INCONS 2
Total FP COMP 0
Total FN 297
Total Scores
MCC 0.121
Average MCC ± 95% Confidence Intervals 0.047 ± 0.106
Sensitivity 0.020
Positive Predictive Value 0.750
Nr of predictions 10

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.47 0.30 0.75 6 1532 2 0 2 0 14
3AMU_B 0.00 0.00 0.00 0 3003 0 0 0 0 27
3J16_L 0.00 0.00 0.00 0 2775 0 0 0 0 30
3J20_0 0.00 0.00 0.00 0 2850 0 0 0 0 30
3RKF_A 0.00 0.00 0.00 0 2211 0 0 0 0 34
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3W3S_B 0.00 0.00 0.00 0 4753 0 0 0 0 40
4AOB_A 0.00 0.00 0.00 0 4371 0 0 0 0 42
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19

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