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

  1. Overview

  2. Performance Plots

  3. Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for PETfold_pre2.0(seed) & RNASampler(seed) [.zip] - may take several seconds...


Overview

Metric PETfold_pre2.0(seed) RNASampler(seed)
MCC 0.955 > 0.779
Average MCC ± 95% Confidence Intervals 0.955 ± 0.019 > 0.774 ± 0.092
Sensitivity 0.915 > 0.659
Positive Predictive Value 0.997 > 0.921
Total TP 614 > 442
Total TN 413626 < 413762
Total FP 78 < 105
Total FP CONTRA 0 < 9
Total FP INCONS 2 < 29
Total FP COMP 76 > 67
Total FN 57 < 229
P-value 6.70002765408e-09

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(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 PETfold_pre2.0(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 PETfold_pre2.0(seed) and RNASampler(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_pre2.0(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 PETfold_pre2.0(seed) and RNASampler(seed)).

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Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for PETfold_pre2.0(seed)

Total Base Pair Counts
Total TP 614
Total TN 413626
Total FP 78
Total FP CONTRA 0
Total FP INCONS 2
Total FP COMP 76
Total FN 57
Total Scores
MCC 0.955
Average MCC ± 95% Confidence Intervals 0.955 ± 0.019
Sensitivity 0.915
Positive Predictive Value 0.997
Nr of predictions 12

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2. Individual counts for PETfold_pre2.0(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 0.89 0.79 1.00 31 21914 0 0 0 0 8
RFA_00626 0.96 0.92 1.00 80 56536 7 0 0 7 7
RFA_00627 0.96 0.93 1.00 81 56872 12 0 0 12 6
RFA_00628 0.96 0.93 1.00 80 57211 12 0 0 12 6
RFA_00630 0.92 0.87 0.97 76 56875 17 0 2 15 11
RFA_00814 0.98 0.95 1.00 39 25161 5 0 0 5 2
RFA_00815 0.98 0.95 1.00 39 24492 6 0 0 6 2
RFA_00816 0.98 0.95 1.00 39 23181 6 0 0 6 2
RFA_00817 0.98 0.95 1.00 39 21906 4 0 0 4 2
RFA_00818 0.98 0.95 1.00 39 20262 3 0 0 3 2
RFA_00819 0.98 0.95 1.00 39 27927 6 0 0 6 2

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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.