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 CentroidFold - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) CentroidFold
MCC 0.655 > 0.631
Average MCC ± 95% Confidence Intervals 0.639 ± 0.088 > 0.635 ± 0.091
Sensitivity 0.572 > 0.554
Positive Predictive Value 0.755 > 0.725
Total TP 163 > 158
Total TN 37502 > 37500
Total FP 56 < 67
Total FP CONTRA 20 > 11
Total FP INCONS 33 < 49
Total FP COMP 3 < 7
Total FN 122 < 127
P-value 9.74569091494e-09

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Performance plots


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

  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 CentroidFold).

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

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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 163
Total TN 37502
Total FP 56
Total FP CONTRA 20
Total FP INCONS 33
Total FP COMP 3
Total FN 122
Total Scores
MCC 0.655
Average MCC ± 95% Confidence Intervals 0.639 ± 0.088
Sensitivity 0.572
Positive Predictive Value 0.755
Nr of predictions 13

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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
PDB_01092 0.72 0.62 0.84 32 10115 8 0 6 2 20
RFA_00632 0.78 0.68 0.90 19 4074 2 1 1 0 9
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 CentroidFold - scored lower in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 158
Total TN 37500
Total FP 67
Total FP CONTRA 11
Total FP INCONS 49
Total FP COMP 7
Total FN 127
Total Scores
MCC 0.631
Average MCC ± 95% Confidence Intervals 0.635 ± 0.091
Sensitivity 0.554
Positive Predictive Value 0.725
Nr of predictions 13

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2. Individual counts for CentroidFold [ 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 0.33 0.30 0.37 7 2682 13 0 12 1 16
PDB_01092 0.71 0.63 0.80 33 10112 10 1 7 2 19
RFA_00632 0.67 0.61 0.74 17 4072 6 1 5 0 11
RFA_00636 0.64 0.64 0.64 18 3977 10 4 6 0 10
RFA_00767 0.74 0.56 1.00 10 1881 0 0 0 0 8
RFA_00768 0.45 0.44 0.47 8 1874 9 1 8 0 10
RFA_00769 0.63 0.56 0.71 10 1939 4 3 1 0 8
RFA_00770 0.64 0.50 0.82 9 2005 4 0 2 2 9
RFA_00773 0.71 0.56 0.91 10 1942 3 1 0 2 8
RFA_00779 0.68 0.56 0.83 10 1941 2 0 2 0 8
RFA_00808 0.75 0.56 1.00 9 2007 0 0 0 0 7
RFA_00809 0.43 0.38 0.50 6 2133 6 0 6 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.