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 Vsfold4 - scored lower in this pairwise comparison

  5. Compile and download dataset for RNASampler(seed) & Vsfold4 [.zip] - may take several seconds...


Overview

Metric RNASampler(seed) Vsfold4
MCC 0.779 > 0.215
Average MCC ± 95% Confidence Intervals 0.774 ± 0.092 > 0.207 ± 0.071
Sensitivity 0.659 > 0.210
Positive Predictive Value 0.921 > 0.223
Total TP 442 > 141
Total TN 413762 > 413609
Total FP 105 < 581
Total FP CONTRA 9 < 101
Total FP INCONS 29 < 391
Total FP COMP 67 < 89
Total FN 229 < 530
P-value 1.18011954625e-08

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Performance plots


  1. Comparison of performance of RNASampler(seed) and Vsfold4. 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 Vsfold4).

  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 Vsfold4).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and Vsfold4. 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 Vsfold4).

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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 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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Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 141
Total TN 413609
Total FP 581
Total FP CONTRA 101
Total FP INCONS 391
Total FP COMP 89
Total FN 530
Total Scores
MCC 0.215
Average MCC ± 95% Confidence Intervals 0.207 ± 0.071
Sensitivity 0.210
Positive Predictive Value 0.223
Nr of predictions 12

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2. Individual counts for Vsfold4 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00606 0.34 0.36 0.33 14 21278 40 5 24 11 25
RFA_00620 0.22 0.23 0.21 9 21903 40 11 22 7 30
RFA_00626 0.20 0.18 0.22 16 56543 61 11 46 4 71
RFA_00627 0.23 0.22 0.24 19 56874 63 13 47 3 68
RFA_00628 0.24 0.22 0.26 19 57218 64 8 46 10 67
RFA_00630 0.30 0.29 0.32 25 56875 58 3 50 5 62
RFA_00814 0.41 0.39 0.43 16 25163 33 3 18 12 25
RFA_00815 0.11 0.12 0.10 5 24483 47 6 37 4 36
RFA_00816 0.12 0.12 0.13 5 23181 42 9 25 8 36
RFA_00817 0.11 0.12 0.11 5 21898 42 16 26 0 36
RFA_00818 0.00 0.00 0.00 0 20265 46 10 26 10 41
RFA_00819 0.20 0.20 0.21 8 27928 45 6 24 15 33

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