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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric PPfold(seed) RNASampler(seed)
MCC 0.941 > 0.811
Average MCC ± 95% Confidence Intervals 0.942 ± 0.010 > 0.826 ± 0.036
Sensitivity 0.889 > 0.687
Positive Predictive Value 0.996 > 0.959
Total TP 491 > 379
Total TN 345952 < 346050
Total FP 21 < 64
Total FP CONTRA 0 = 0
Total FP INCONS 2 < 16
Total FP COMP 19 < 48
Total FN 61 < 173
P-value 0.0

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 491
Total TN 345952
Total FP 21
Total FP CONTRA 0
Total FP INCONS 2
Total FP COMP 19
Total FN 61
Total Scores
MCC 0.941
Average MCC ± 95% Confidence Intervals 0.942 ± 0.010
Sensitivity 0.889
Positive Predictive Value 0.996
Nr of predictions 9

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00626 0.94 0.89 1.00 77 56539 1 0 0 1 10
RFA_00627 0.95 0.91 1.00 79 56874 4 0 0 4 8
RFA_00628 0.95 0.91 1.00 78 57213 2 0 0 2 8
RFA_00630 0.91 0.85 0.97 74 56877 5 0 2 3 13
RFA_00814 0.94 0.88 1.00 36 25164 2 0 0 2 5
RFA_00816 0.95 0.90 1.00 37 23183 2 0 0 2 4
RFA_00817 0.95 0.90 1.00 37 21908 1 0 0 1 4
RFA_00818 0.94 0.88 1.00 36 20265 2 0 0 2 5
RFA_00819 0.95 0.90 1.00 37 27929 2 0 0 2 4

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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 379
Total TN 346050
Total FP 64
Total FP CONTRA 0
Total FP INCONS 16
Total FP COMP 48
Total FN 173
Total Scores
MCC 0.811
Average MCC ± 95% Confidence Intervals 0.826 ± 0.036
Sensitivity 0.687
Positive Predictive Value 0.959
Nr of predictions 9

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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
RFA_00626 0.80 0.64 1.00 56 56560 5 0 0 5 31
RFA_00627 0.77 0.63 0.93 55 56894 8 0 4 4 32
RFA_00628 0.78 0.64 0.95 55 57233 12 0 3 9 31
RFA_00630 0.77 0.66 0.90 57 56890 15 0 6 9 30
RFA_00814 0.87 0.78 0.97 32 25167 6 0 1 5 9
RFA_00816 0.86 0.76 0.97 31 23188 6 0 1 5 10
RFA_00817 0.86 0.76 0.97 31 21913 1 0 1 0 10
RFA_00818 0.86 0.73 1.00 30 20271 6 0 0 6 11
RFA_00819 0.88 0.78 1.00 32 27934 5 0 0 5 9

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