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 MXScarna(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric MXScarna(seed) RNASampler(seed)
MCC 0.813 > 0.779
Average MCC ± 95% Confidence Intervals 0.794 ± 0.146 > 0.774 ± 0.092
Sensitivity 0.782 > 0.659
Positive Predictive Value 0.845 < 0.921
Total TP 525 > 442
Total TN 413621 < 413762
Total FP 314 > 105
Total FP CONTRA 29 > 9
Total FP INCONS 67 > 29
Total FP COMP 218 > 67
Total FN 146 < 229
P-value 2.08252958266e-08

^top




Performance plots


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

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

^top





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

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

Total Base Pair Counts
Total TP 525
Total TN 413621
Total FP 314
Total FP CONTRA 29
Total FP INCONS 67
Total FP COMP 218
Total FN 146
Total Scores
MCC 0.813
Average MCC ± 95% Confidence Intervals 0.794 ± 0.146
Sensitivity 0.782
Positive Predictive Value 0.845
Nr of predictions 12

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00606 0.53 0.51 0.56 20 21285 25 4 12 9 19
RFA_00620 0.20 0.18 0.23 7 21915 33 7 16 10 32
RFA_00626 0.89 0.87 0.92 76 56533 29 2 5 22 11
RFA_00627 0.83 0.79 0.87 69 56874 36 1 9 26 18
RFA_00628 0.85 0.81 0.89 70 57212 38 2 7 29 16
RFA_00630 0.82 0.78 0.86 68 56874 33 2 9 22 19
RFA_00814 0.95 0.93 0.97 38 25161 22 0 1 21 3
RFA_00815 0.96 0.93 1.00 38 24493 15 0 0 15 3
RFA_00816 0.96 0.93 1.00 38 23182 15 0 0 15 3
RFA_00817 0.94 0.88 1.00 36 21909 12 0 0 12 5
RFA_00818 0.64 0.68 0.61 28 20255 30 11 7 12 13
RFA_00819 0.94 0.90 0.97 37 27928 26 0 1 25 4

^top



Performance of RNASampler(seed) - scored lower 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


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