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 Multilign(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric Multilign(seed) Murlet(seed)
MCC 0.485 > 0.448
Average MCC ± 95% Confidence Intervals 0.399 ± 0.173 > 0.362 ± 0.160
Sensitivity 0.386 > 0.284
Positive Predictive Value 0.619 < 0.718
Total TP 83 > 61
Total TN 22737 < 22786
Total FP 52 > 24
Total FP CONTRA 6 > 0
Total FP INCONS 45 > 24
Total FP COMP 1 > 0
Total FN 132 < 154
P-value 1.96907987703e-08

^top




Performance plots


  1. Comparison of performance of Multilign(seed) and Murlet(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 Multilign(seed) and Murlet(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 Multilign(seed) and Murlet(seed)).

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

^top





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

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

Total Base Pair Counts
Total TP 83
Total TN 22737
Total FP 52
Total FP CONTRA 6
Total FP INCONS 45
Total FP COMP 1
Total FN 132
Total Scores
MCC 0.485
Average MCC ± 95% Confidence Intervals 0.399 ± 0.173
Sensitivity 0.386
Positive Predictive Value 0.619
Nr of predictions 13

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00416 0.57 0.53 0.62 8 1472 6 1 4 1 7
RFA_00654 0.00 0.00 0.00 0 2414 1 0 1 0 18
RFA_00658 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00664 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00708 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00767 0.63 0.56 0.71 10 1877 4 0 4 0 8
RFA_00768 0.61 0.56 0.67 10 1876 5 0 5 0 8
RFA_00769 0.55 0.56 0.56 10 1935 8 3 5 0 8
RFA_00770 0.68 0.56 0.83 10 2004 2 0 2 0 8
RFA_00773 0.59 0.56 0.63 10 1937 6 1 5 0 8
RFA_00779 0.61 0.56 0.67 10 1938 5 0 5 0 8
RFA_00808 0.60 0.56 0.64 9 2002 5 0 5 0 7
RFA_00809 0.37 0.38 0.38 6 2129 10 1 9 0 10

^top



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

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

Total Base Pair Counts
Total TP 61
Total TN 22786
Total FP 24
Total FP CONTRA 0
Total FP INCONS 24
Total FP COMP 0
Total FN 154
Total Scores
MCC 0.448
Average MCC ± 95% Confidence Intervals 0.362 ± 0.160
Sensitivity 0.284
Positive Predictive Value 0.718
Nr of predictions 13

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00416 0.00 0.00 0.00 0 1485 0 0 0 0 15
RFA_00654 0.57 0.44 0.73 8 2404 3 0 3 0 10
RFA_00658 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00664 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00708 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00767 0.47 0.33 0.67 6 1882 3 0 3 0 12
RFA_00768 0.41 0.28 0.63 5 1883 3 0 3 0 13
RFA_00769 0.57 0.44 0.73 8 1942 3 0 3 0 10
RFA_00770 0.57 0.44 0.73 8 2005 3 0 3 0 10
RFA_00773 0.41 0.28 0.63 5 1945 3 0 3 0 13
RFA_00779 0.47 0.33 0.67 6 1944 3 0 3 0 12
RFA_00808 0.75 0.56 1.00 9 2007 0 0 0 0 7
RFA_00809 0.50 0.38 0.67 6 2136 3 0 3 0 10

^top


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