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(seed) - scored higher in this pairwise comparison

  4. Performance of McQFold - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) McQFold
MCC 0.779 > 0.446
Average MCC ± 95% Confidence Intervals 0.774 ± 0.092 > 0.454 ± 0.127
Sensitivity 0.659 > 0.452
Positive Predictive Value 0.921 > 0.442
Total TP 442 > 303
Total TN 413762 > 413557
Total FP 105 < 464
Total FP CONTRA 9 < 87
Total FP INCONS 29 < 295
Total FP COMP 67 < 82
Total FN 229 < 368
P-value 1.80908287419e-08

^top




Performance plots


  1. Comparison of performance of RNASampler(seed) and McQFold. 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(seed) and McQFold).

  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(seed) and McQFold).

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

^top





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

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

Total Base Pair Counts
Total TP 442
Total TN 413762
Total FP 105
Total FP CONTRA 9
Total FP INCONS 29
Total FP COMP 67
Total FN 229
Total Scores
MCC 0.779
Average MCC ± 95% Confidence Intervals 0.774 ± 0.092
Sensitivity 0.659
Positive Predictive Value 0.921
Nr of predictions 12

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00606 0.44 0.36 0.54 14 21295 18 7 5 6 25
RFA_00620 0.52 0.44 0.63 17 21918 15 2 8 5 22
RFA_00626 0.80 0.64 1.00 56 56560 5 0 0 5 31
RFA_00627 0.77 0.63 0.93 55 56894 8 0 4 4 32
RFA_00628 0.78 0.64 0.95 55 57233 12 0 3 9 31
RFA_00630 0.77 0.66 0.90 57 56890 15 0 6 9 30
RFA_00814 0.87 0.78 0.97 32 25167 6 0 1 5 9
RFA_00815 0.88 0.78 1.00 32 24499 8 0 0 8 9
RFA_00816 0.86 0.76 0.97 31 23188 6 0 1 5 10
RFA_00817 0.86 0.76 0.97 31 21913 1 0 1 0 10
RFA_00818 0.86 0.73 1.00 30 20271 6 0 0 6 11
RFA_00819 0.88 0.78 1.00 32 27934 5 0 0 5 9

^top



Performance of McQFold - scored lower in this pairwise comparison

1. Total counts & total scores for McQFold

Total Base Pair Counts
Total TP 303
Total TN 413557
Total FP 464
Total FP CONTRA 87
Total FP INCONS 295
Total FP COMP 82
Total FN 368
Total Scores
MCC 0.446
Average MCC ± 95% Confidence Intervals 0.454 ± 0.127
Sensitivity 0.452
Positive Predictive Value 0.442
Nr of predictions 12

^top



2. Individual counts for McQFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00606 0.32 0.33 0.32 13 21280 34 12 16 6 26
RFA_00620 0.36 0.38 0.34 15 21901 37 4 25 8 24
RFA_00626 0.21 0.22 0.21 19 56526 76 15 56 5 68
RFA_00627 0.42 0.40 0.44 35 56873 47 13 32 2 52
RFA_00628 0.42 0.41 0.43 35 57209 50 7 40 3 51
RFA_00630 0.63 0.63 0.63 55 56865 41 6 27 8 32
RFA_00814 0.79 0.80 0.77 33 25157 21 0 10 11 8
RFA_00815 0.56 0.59 0.53 24 24486 27 1 20 6 17
RFA_00816 0.82 0.85 0.80 35 23176 12 4 5 3 6
RFA_00817 0.35 0.39 0.31 16 21894 39 9 26 4 25
RFA_00818 0.28 0.27 0.29 11 20263 30 12 15 3 30
RFA_00819 0.30 0.29 0.31 12 27927 50 4 23 23 29

^top


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