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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidAlifold(seed) RNASampler(seed)
MCC 0.721 > 0.655
Average MCC ± 95% Confidence Intervals 0.718 ± 0.056 > 0.639 ± 0.088
Sensitivity 0.579 > 0.572
Positive Predictive Value 0.902 > 0.755
Total TP 165 > 163
Total TN 37535 > 37502
Total FP 19 < 56
Total FP CONTRA 5 < 20
Total FP INCONS 13 < 33
Total FP COMP 1 < 3
Total FN 120 < 122
P-value 8.09700314043e-09

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 165
Total TN 37535
Total FP 19
Total FP CONTRA 5
Total FP INCONS 13
Total FP COMP 1
Total FN 120
Total Scores
MCC 0.721
Average MCC ± 95% Confidence Intervals 0.718 ± 0.056
Sensitivity 0.579
Positive Predictive Value 0.902
Nr of predictions 13

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.80 0.64 1.00 9 937 0 0 0 0 5
PDB_00716 0.75 0.61 0.93 14 2686 1 0 1 0 9
PDB_01092 0.72 0.58 0.91 30 10120 4 0 3 1 22
RFA_00632 0.74 0.64 0.86 18 4074 3 2 1 0 10
RFA_00636 0.78 0.68 0.90 19 3984 2 2 0 0 9
RFA_00767 0.74 0.56 1.00 10 1881 0 0 0 0 8
RFA_00768 0.74 0.56 1.00 10 1881 0 0 0 0 8
RFA_00769 0.74 0.56 1.00 10 1943 0 0 0 0 8
RFA_00770 0.74 0.56 1.00 10 2006 0 0 0 0 8
RFA_00773 0.74 0.56 1.00 10 1943 0 0 0 0 8
RFA_00779 0.74 0.56 1.00 10 1943 0 0 0 0 8
RFA_00808 0.65 0.56 0.75 9 2004 3 1 2 0 7
RFA_00809 0.43 0.38 0.50 6 2133 6 0 6 0 10

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Performance of RNASampler(seed) - scored lower 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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.