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 RNASLOpt - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) RNASLOpt
MCC 0.779 > 0.568
Average MCC ± 95% Confidence Intervals 0.774 ± 0.092 > 0.522 ± 0.139
Sensitivity 0.659 > 0.569
Positive Predictive Value 0.921 > 0.568
Total TP 442 > 382
Total TN 413762 > 413570
Total FP 105 < 380
Total FP CONTRA 9 < 93
Total FP INCONS 29 < 197
Total FP COMP 67 < 90
Total FN 229 < 289
P-value 1.38194587311e-08

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Performance plots


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

  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 RNASLOpt).

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

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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 RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 382
Total TN 413570
Total FP 380
Total FP CONTRA 93
Total FP INCONS 197
Total FP COMP 90
Total FN 289
Total Scores
MCC 0.568
Average MCC ± 95% Confidence Intervals 0.522 ± 0.139
Sensitivity 0.569
Positive Predictive Value 0.568
Nr of predictions 12

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00606 0.18 0.18 0.18 7 21281 39 4 29 6 32
RFA_00620 0.66 0.64 0.68 25 21908 22 2 10 10 14
RFA_00626 0.68 0.64 0.72 56 56538 30 6 16 8 31
RFA_00627 0.61 0.60 0.62 52 56869 41 11 21 9 35
RFA_00628 0.89 0.84 0.95 72 57215 15 0 4 11 14
RFA_00630 0.69 0.67 0.72 58 56872 32 5 18 9 29
RFA_00814 0.51 0.51 0.51 21 25159 29 9 11 9 20
RFA_00815 0.41 0.41 0.41 17 24490 31 1 23 7 24
RFA_00816 0.58 0.63 0.53 26 23171 26 13 10 3 15
RFA_00817 0.24 0.27 0.22 11 21896 42 12 26 4 30
RFA_00818 0.21 0.22 0.21 9 20258 39 14 20 5 32
RFA_00819 0.60 0.68 0.53 28 27913 34 16 9 9 13

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