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 0.946 > 0.779
Average MCC ± 95% Confidence Intervals 0.938 ± 0.017 > 0.774 ± 0.092
Sensitivity 0.900 > 0.659
Positive Predictive Value 0.995 > 0.921
Total TP 604 > 442
Total TN 413635 < 413762
Total FP 52 < 105
Total FP CONTRA 0 < 9
Total FP INCONS 3 < 29
Total FP COMP 49 < 67
Total FN 67 < 229
P-value 1.98760236454e-08

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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 604
Total TN 413635
Total FP 52
Total FP CONTRA 0
Total FP INCONS 3
Total FP COMP 49
Total FN 67
Total Scores
MCC 0.946
Average MCC ± 95% Confidence Intervals 0.938 ± 0.017
Sensitivity 0.900
Positive Predictive Value 0.995
Nr of predictions 12

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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
RFA_00606 0.91 0.82 1.00 32 21289 0 0 0 0 7
RFA_00620 0.91 0.82 1.00 32 21913 0 0 0 0 7
RFA_00626 0.98 0.95 1.00 83 56533 8 0 0 8 4
RFA_00627 0.98 0.97 1.00 84 56869 10 0 0 10 3
RFA_00628 0.98 0.95 1.00 82 57209 12 0 0 12 4
RFA_00630 0.93 0.90 0.96 78 56872 16 0 3 13 9
RFA_00814 0.91 0.83 1.00 34 25166 1 0 0 1 7
RFA_00815 0.94 0.88 1.00 36 24495 1 0 0 1 5
RFA_00816 0.94 0.88 1.00 36 23184 1 0 0 1 5
RFA_00817 0.92 0.85 1.00 35 21910 1 0 0 1 6
RFA_00818 0.94 0.88 1.00 36 20265 1 0 0 1 5
RFA_00819 0.94 0.88 1.00 36 27930 1 0 0 1 5

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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 442
Total TN 413762
Total FP 105
Total FP CONTRA 9
Total FP INCONS 29
Total FP COMP 67
Total FN 229
Total Scores
MCC 0.779
Average MCC ± 95% Confidence Intervals 0.774 ± 0.092
Sensitivity 0.659
Positive Predictive Value 0.921
Nr of predictions 12

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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_00606 0.44 0.36 0.54 14 21295 18 7 5 6 25
RFA_00620 0.52 0.44 0.63 17 21918 15 2 8 5 22
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_00815 0.88 0.78 1.00 32 24499 8 0 0 8 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.