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 RSpredict(20) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) RSpredict(20)
MCC 0.612 > 0.538
Average MCC ± 95% Confidence Intervals 0.628 ± 0.172 > 0.548 ± 0.206
Sensitivity 0.566 < 0.575
Positive Predictive Value 0.668 > 0.510
Total TP 125 < 127
Total TN 30559 > 30497
Total FP 103 < 172
Total FP CONTRA 27 < 60
Total FP INCONS 35 < 62
Total FP COMP 41 < 50
Total FN 96 > 94
P-value 4.5296540067e-09

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Performance plots


  1. Comparison of performance of RNASampler(seed) 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 RNASampler(seed) 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 RNASampler(seed) and RSpredict(20)).

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

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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 125
Total TN 30559
Total FP 103
Total FP CONTRA 27
Total FP INCONS 35
Total FP COMP 41
Total FN 96
Total Scores
MCC 0.612
Average MCC ± 95% Confidence Intervals 0.628 ± 0.172
Sensitivity 0.566
Positive Predictive Value 0.668
Nr of predictions 11

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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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 0.70 0.56 0.91 10 346 2 0 1 1 8
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3J3E_8 0.18 0.20 0.18 3 2725 22 5 9 8 12
3J3F_8 0.47 0.47 0.47 9 4742 18 5 5 8 10
3JYX_4 0.70 0.83 0.59 10 4739 13 6 1 6 2
3O58_3 0.54 0.50 0.58 11 4745 13 5 3 5 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
3ZEX_C 0.39 0.31 0.50 9 5356 14 2 7 5 20
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12

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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 127
Total TN 30497
Total FP 172
Total FP CONTRA 60
Total FP INCONS 62
Total FP COMP 50
Total FN 94
Total Scores
MCC 0.538
Average MCC ± 95% Confidence Intervals 0.548 ± 0.206
Sensitivity 0.575
Positive Predictive Value 0.510
Nr of predictions 11

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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
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2L94_A 0.53 0.50 0.60 9 342 7 0 6 1 9
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3J3E_8 -0.01 0.00 0.00 0 2724 19 5 13 1 15
3J3F_8 0.42 0.47 0.38 9 4737 26 9 6 11 10
3JYX_4 0.59 0.75 0.47 9 4737 33 9 1 23 3
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
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
3ZEX_C 0.34 0.31 0.38 9 5350 19 3 12 4 20
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14

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