CompaRNA - on-line benchmarks of RNA structure prediction methods
Home

Methods
Datasets
Rankings
RNA 2D Atlas

Help
FAQ

Contact us
RSS feeds
Twitter

Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNASampler(20) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(20) RSpredict(seed)
MCC 0.526 > 0.166
Average MCC ± 95% Confidence Intervals 0.595 ± 0.129 > 0.205 ± 0.197
Sensitivity 0.384 > 0.052
Positive Predictive Value 0.723 > 0.539
Total TP 357 > 48
Total TN 493814 < 494219
Total FP 165 > 45
Total FP CONTRA 16 > 7
Total FP INCONS 121 > 34
Total FP COMP 28 > 4
Total FN 573 < 882
P-value 1.55268413083e-08

^top




Performance plots


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

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

^top





Performance of RNASampler(20) - scored higher 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

^top



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

^top



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

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

Total Base Pair Counts
Total TP 48
Total TN 494219
Total FP 45
Total FP CONTRA 7
Total FP INCONS 34
Total FP COMP 4
Total FN 882
Total Scores
MCC 0.166
Average MCC ± 95% Confidence Intervals 0.205 ± 0.197
Sensitivity 0.052
Positive Predictive Value 0.539
Nr of predictions 12

^top



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
ASE_00064 0.00 0.00 0.00 0 45448 3 0 3 0 89
ASE_00090 0.04 0.01 0.17 1 55605 5 0 5 0 100
ASE_00135 0.00 0.00 0.00 0 63187 3 0 3 0 109
ASE_00153 0.00 0.00 0.00 0 57629 1 1 0 0 73
ASE_00215 0.00 0.00 0.00 0 48513 3 0 3 0 99
ASE_00328 0.00 0.00 0.00 0 72760 15 0 11 4 112
ASE_00361 0.00 0.00 0.00 0 75463 3 0 3 0 127
ASE_00441 0.00 0.00 0.00 0 64258 3 0 3 0 112
PDB_00828 0.54 0.41 0.73 11 2470 4 2 2 0 16
PDB_00829 0.74 0.63 0.88 15 2261 2 2 0 0 9
PDB_01020 0.76 0.65 0.88 15 2261 2 2 0 0 8
PDB_01073 0.39 0.18 0.86 6 4364 1 0 1 0 28

^top


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