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

  1. Overview

  2. Performance Plots

  3. Performance of CentroidAlifold(seed) - scored higher in this pairwise comparison

  4. Performance of RNASampler(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for CentroidAlifold(seed) & RNASampler(20) [.zip] - may take several seconds...


Overview

Metric CentroidAlifold(seed) RNASampler(20)
MCC 0.702 > 0.526
Average MCC ± 95% Confidence Intervals 0.743 ± 0.088 > 0.595 ± 0.129
Sensitivity 0.526 > 0.384
Positive Predictive Value 0.939 > 0.723
Total TP 489 > 357
Total TN 493787 < 493814
Total FP 40 < 165
Total FP CONTRA 2 < 16
Total FP INCONS 30 < 121
Total FP COMP 8 < 28
Total FN 441 < 573
P-value 1.5677163434e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(seed) and RNASampler(20). 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 CentroidAlifold(seed) and RNASampler(20)).

  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 CentroidAlifold(seed) and RNASampler(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(seed) and RNASampler(20). 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 CentroidAlifold(seed) and RNASampler(20)).

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Performance of CentroidAlifold(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 489
Total TN 493787
Total FP 40
Total FP CONTRA 2
Total FP INCONS 30
Total FP COMP 8
Total FN 441
Total Scores
MCC 0.702
Average MCC ± 95% Confidence Intervals 0.743 ± 0.088
Sensitivity 0.526
Positive Predictive Value 0.939
Nr of predictions 12

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
ASE_00064 0.77 0.60 1.00 53 45398 0 0 0 0 36
ASE_00090 0.75 0.56 1.00 57 55554 0 0 0 0 44
ASE_00135 0.53 0.39 0.74 42 63133 15 0 15 0 67
ASE_00153 0.67 0.53 0.85 39 57584 7 1 6 0 34
ASE_00215 0.51 0.32 0.82 32 48477 7 0 7 0 67
ASE_00328 0.83 0.70 1.00 78 72693 5 0 0 5 34
ASE_00361 0.65 0.43 0.98 55 75410 1 1 0 0 72
ASE_00441 0.65 0.44 0.96 49 64210 3 0 2 1 63
PDB_00828 0.88 0.78 1.00 21 2464 0 0 0 0 6
PDB_00829 0.91 0.83 1.00 20 2258 0 0 0 0 4
PDB_01020 0.91 0.83 1.00 19 2259 1 0 0 1 4
PDB_01073 0.84 0.71 1.00 24 4347 1 0 0 1 10

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Performance of RNASampler(20) - scored lower in this pairwise comparison

1. Total counts & total scores for RNASampler(20)

Total Base Pair Counts
Total TP 357
Total TN 493814
Total FP 165
Total FP CONTRA 16
Total FP INCONS 121
Total FP COMP 28
Total FN 573
Total Scores
MCC 0.526
Average MCC ± 95% Confidence Intervals 0.595 ± 0.129
Sensitivity 0.384
Positive Predictive Value 0.723
Nr of predictions 12

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2. Individual counts for RNASampler(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
ASE_00064 0.44 0.34 0.58 30 45399 23 1 21 1 59
ASE_00090 0.54 0.40 0.74 40 55557 14 0 14 0 61
ASE_00135 0.54 0.36 0.83 39 63143 16 0 8 8 70
ASE_00153 0.38 0.33 0.44 24 57576 38 7 23 8 49
ASE_00215 0.38 0.23 0.62 23 48479 16 0 14 2 76
ASE_00328 0.70 0.57 0.85 64 72696 14 5 6 3 48
ASE_00361 0.34 0.21 0.55 27 75417 26 3 19 4 100
ASE_00441 0.46 0.31 0.69 35 64210 16 0 16 0 77
PDB_00828 0.86 0.74 1.00 20 2465 0 0 0 0 7
PDB_00829 0.86 0.75 1.00 18 2260 0 0 0 0 6
PDB_01020 0.86 0.74 1.00 17 2261 1 0 0 1 6
PDB_01073 0.77 0.59 1.00 20 4351 1 0 0 1 14

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