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

  1. Overview

  2. Performance Plots

  3. Performance of MaxExpect - scored higher in this pairwise comparison

  4. Performance of RSpredict(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for MaxExpect & RSpredict(20) [.zip] - may take several seconds...


Overview

Metric MaxExpect RSpredict(20)
MCC 0.674 > 0.624
Average MCC ± 95% Confidence Intervals 0.667 ± 0.135 > 0.613 ± 0.166
Sensitivity 0.670 > 0.559
Positive Predictive Value 0.683 < 0.702
Total TP 304 > 254
Total TN 51818 < 51901
Total FP 185 > 133
Total FP CONTRA 47 < 51
Total FP INCONS 94 > 57
Total FP COMP 44 > 25
Total FN 150 < 200
P-value 2.20167918023e-08

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Performance plots


  1. Comparison of performance of MaxExpect and RSpredict(20). 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 MaxExpect and RSpredict(20)).

  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 MaxExpect and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for MaxExpect and RSpredict(20). 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 MaxExpect and RSpredict(20)).

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Performance of MaxExpect - scored higher in this pairwise comparison

1. Total counts & total scores for MaxExpect

Total Base Pair Counts
Total TP 304
Total TN 51818
Total FP 185
Total FP CONTRA 47
Total FP INCONS 94
Total FP COMP 44
Total FN 150
Total Scores
MCC 0.674
Average MCC ± 95% Confidence Intervals 0.667 ± 0.135
Sensitivity 0.670
Positive Predictive Value 0.683
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3GX2_A 0.93 0.89 0.96 25 1423 2 1 0 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.61 0.61 0.62 58 25442 42 14 22 6 37
3JYV_7 0.48 0.45 0.53 9 1094 9 3 5 1 11
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.77 0.73 0.82 27 2245 10 0 6 4 10
3O58_3 0.40 0.50 0.33 11 4731 36 8 14 14 11
3PDR_A 0.92 0.90 0.94 45 4792 5 1 2 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.70 0.69 0.71 20 1505 8 3 5 0 9
4A1C_2 0.19 0.25 0.16 5 4484 41 10 17 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.36 0.33 0.42 5 484 8 0 7 1 10

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Performance of RSpredict(20) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(20)

Total Base Pair Counts
Total TP 254
Total TN 51901
Total FP 133
Total FP CONTRA 51
Total FP INCONS 57
Total FP COMP 25
Total FN 200
Total Scores
MCC 0.624
Average MCC ± 95% Confidence Intervals 0.613 ± 0.166
Sensitivity 0.559
Positive Predictive Value 0.702
Nr of predictions 15

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2. Individual counts for RSpredict(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3IZ4_A 0.61 0.57 0.67 54 25455 38 13 14 11 41
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9

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