CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(seed) MCFold
MCC 0.621 > 0.354
Average MCC ± 95% Confidence Intervals 0.619 ± 0.100 > 0.369 ± 0.123
Sensitivity 0.546 > 0.415
Positive Predictive Value 0.713 > 0.314
Total TP 112 > 85
Total TN 23313 > 23199
Total FP 46 < 215
Total FP CONTRA 19 < 35
Total FP INCONS 26 < 151
Total FP COMP 1 < 29
Total FN 93 < 120
P-value 1.58287649515e-08

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Performance plots


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

  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 MCFold).

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

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

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

Total Base Pair Counts
Total TP 112
Total TN 23313
Total FP 46
Total FP CONTRA 19
Total FP INCONS 26
Total FP COMP 1
Total FN 93
Total Scores
MCC 0.621
Average MCC ± 95% Confidence Intervals 0.619 ± 0.100
Sensitivity 0.546
Positive Predictive Value 0.713
Nr of predictions 11

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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
PDB_00005 0.88 0.79 1.00 11 935 0 0 0 0 3
PDB_00716 0.50 0.39 0.64 9 2687 6 0 5 1 14
RFA_00636 0.85 0.75 0.95 21 3983 1 1 0 0 7
RFA_00767 0.65 0.56 0.77 10 1878 3 3 0 0 8
RFA_00768 0.65 0.56 0.77 10 1878 3 3 0 0 8
RFA_00769 0.59 0.56 0.63 10 1937 6 1 5 0 8
RFA_00770 0.52 0.39 0.70 7 2006 3 3 0 0 11
RFA_00773 0.59 0.50 0.69 9 1940 4 4 0 0 9
RFA_00779 0.65 0.56 0.77 10 1940 3 3 0 0 8
RFA_00808 0.58 0.56 0.60 9 2001 6 0 6 0 7
RFA_00809 0.36 0.38 0.35 6 2128 11 1 10 0 10

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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 85
Total TN 23199
Total FP 215
Total FP CONTRA 35
Total FP INCONS 151
Total FP COMP 29
Total FN 120
Total Scores
MCC 0.354
Average MCC ± 95% Confidence Intervals 0.369 ± 0.123
Sensitivity 0.415
Positive Predictive Value 0.314
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.76 0.79 0.73 11 931 6 2 2 2 3
PDB_00716 0.22 0.26 0.19 6 2670 25 5 20 0 17
RFA_00636 0.36 0.39 0.34 11 3973 29 0 21 8 17
RFA_00767 0.36 0.44 0.31 8 1865 19 3 15 1 10
RFA_00768 0.36 0.44 0.31 8 1865 19 3 15 1 10
RFA_00769 0.45 0.50 0.41 9 1931 18 2 11 5 9
RFA_00770 -0.01 0.00 0.00 0 1992 29 2 22 5 18
RFA_00773 0.43 0.50 0.38 9 1929 16 4 11 1 9
RFA_00779 0.45 0.56 0.37 10 1926 17 7 10 0 8
RFA_00808 0.39 0.44 0.35 7 1996 19 1 12 6 9
RFA_00809 0.30 0.38 0.25 6 2121 18 6 12 0 10

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