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 Murlet(20) - scored higher in this pairwise comparison

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

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


Overview

Metric Murlet(20) PPfold(seed)
MCC 0.569 > 0.061
Average MCC ± 95% Confidence Intervals 0.558 ± 0.118 > 0.019 ± 0.031
Sensitivity 0.428 > 0.010
Positive Predictive Value 0.762 > 0.385
Total TP 218 > 5
Total TN 73091 < 73364
Total FP 79 > 45
Total FP CONTRA 5 > 0
Total FP INCONS 63 > 8
Total FP COMP 11 < 37
Total FN 291 < 504
P-value 2.06323189071e-08

^top




Performance plots


  1. Comparison of performance of Murlet(20) 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 Murlet(20) and PPfold(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 Murlet(20) and PPfold(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) 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 Murlet(20) and PPfold(seed)).

^top





Performance of Murlet(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 218
Total TN 73091
Total FP 79
Total FP CONTRA 5
Total FP INCONS 63
Total FP COMP 11
Total FN 291
Total Scores
MCC 0.569
Average MCC ± 95% Confidence Intervals 0.558 ± 0.118
Sensitivity 0.428
Positive Predictive Value 0.762
Nr of predictions 14

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3AMU_B 0.77 0.67 0.90 18 2983 3 0 2 1 9
3J20_1 0.68 0.57 0.81 13 2910 3 0 3 0 10
3J20_0 0.58 0.47 0.74 14 2831 5 0 5 0 16
3J2L_3 0.69 0.49 0.96 26 7848 3 0 1 2 27
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
3ZEX_C 0.34 0.23 0.50 12 14172 15 1 11 3 40
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14
4FRG_B 0.17 0.13 0.25 4 3470 12 1 11 0 28

^top



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

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

Total Base Pair Counts
Total TP 5
Total TN 73364
Total FP 45
Total FP CONTRA 0
Total FP INCONS 8
Total FP COMP 37
Total FN 504
Total Scores
MCC 0.061
Average MCC ± 95% Confidence Intervals 0.019 ± 0.031
Sensitivity 0.010
Positive Predictive Value 0.385
Nr of predictions 14

^top



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
3AMU_B 0.00 0.00 0.00 0 3003 0 0 0 0 27
3J20_1 0.00 0.00 0.00 0 2926 0 0 0 0 23
3J20_0 0.00 0.00 0.00 0 2850 0 0 0 0 30
3J2L_3 0.00 0.00 0.00 0 7875 0 0 0 0 53
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
3ZEX_C 0.20 0.08 0.50 4 14188 22 0 4 18 48
3ZEX_D 0.00 0.00 0.00 0 7021 0 0 0 0 49
4A1C_3 0.00 0.00 0.00 0 7140 0 0 0 0 54
4A1C_2 0.08 0.03 0.20 1 11776 23 0 4 19 32
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
4FRG_B 0.00 0.00 0.00 0 3486 0 0 0 0 32

^top


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