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 ContextFold - scored higher in this pairwise comparison

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

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


Overview

Metric ContextFold Murlet(seed)
MCC 0.697 > 0.584
Average MCC ± 95% Confidence Intervals 0.514 ± 0.117 > 0.476 ± 0.098
Sensitivity 0.636 > 0.492
Positive Predictive Value 0.765 > 0.694
Total TP 457 > 354
Total TN 1015022 < 1015109
Total FP 160 < 180
Total FP CONTRA 22 > 6
Total FP INCONS 118 < 150
Total FP COMP 20 < 24
Total FN 262 < 365
P-value 7.21563533328e-09

^top




Performance plots


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

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

^top





Performance of ContextFold - scored higher in this pairwise comparison

1. Total counts & total scores for ContextFold

Total Base Pair Counts
Total TP 457
Total TN 1015022
Total FP 160
Total FP CONTRA 22
Total FP INCONS 118
Total FP COMP 20
Total FN 262
Total Scores
MCC 0.697
Average MCC ± 95% Confidence Intervals 0.514 ± 0.117
Sensitivity 0.636
Positive Predictive Value 0.765
Nr of predictions 14

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01343 0.82 0.76 0.89 328 977531 59 6 36 17 106
PDB_00005 0.42 0.36 0.50 5 936 5 0 5 0 9
PDB_00716 -0.01 0.00 0.00 0 2687 14 0 14 0 23
PDB_01092 0.70 0.63 0.77 33 10110 12 1 9 2 19
RFA_00632 0.25 0.25 0.26 7 4068 20 1 19 0 21
RFA_00636 0.52 0.43 0.63 12 3986 7 0 7 0 16
RFA_00767 0.59 0.56 0.63 10 1875 6 3 3 0 8
RFA_00768 0.61 0.56 0.67 10 1876 5 2 3 0 8
RFA_00769 0.55 0.56 0.56 10 1935 8 4 4 0 8
RFA_00770 0.61 0.56 0.67 10 2001 5 2 3 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 2 3 0 8
RFA_00808 0.58 0.44 0.78 7 2007 2 0 2 0 9
RFA_00809 0.39 0.31 0.50 5 2135 6 0 5 1 11

^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 354
Total TN 1015109
Total FP 180
Total FP CONTRA 6
Total FP INCONS 150
Total FP COMP 24
Total FN 365
Total Scores
MCC 0.584
Average MCC ± 95% Confidence Intervals 0.476 ± 0.098
Sensitivity 0.492
Positive Predictive Value 0.694
Nr of predictions 14

^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
CRW_01343 0.64 0.61 0.68 263 977515 145 6 117 22 171
PDB_00005 0.53 0.29 1.00 4 942 2 0 0 2 10
PDB_00716 0.23 0.13 0.43 3 2694 4 0 4 0 20
PDB_01092 0.69 0.48 1.00 25 10128 0 0 0 0 27
RFA_00632 0.21 0.11 0.43 3 4088 4 0 4 0 25
RFA_00636 0.21 0.11 0.43 3 3998 4 0 4 0 25
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.