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 0.582 > 0.507
Average MCC ± 95% Confidence Intervals 0.619 ± 0.185 > 0.552 ± 0.215
Sensitivity 0.444 < 0.464
Positive Predictive Value 0.768 > 0.558
Total TP 106 < 111
Total TN 46161 > 46100
Total FP 47 < 106
Total FP CONTRA 4 < 24
Total FP INCONS 28 < 64
Total FP COMP 15 < 18
Total FN 133 > 128
P-value 0.0

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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 106
Total TN 46161
Total FP 47
Total FP CONTRA 4
Total FP INCONS 28
Total FP COMP 15
Total FN 133
Total Scores
MCC 0.582
Average MCC ± 95% Confidence Intervals 0.619 ± 0.185
Sensitivity 0.444
Positive Predictive Value 0.768
Nr of predictions 8

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.71 0.55 0.92 11 978 1 0 1 0 9
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25

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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 111
Total TN 46100
Total FP 106
Total FP CONTRA 24
Total FP INCONS 64
Total FP COMP 18
Total FN 128
Total Scores
MCC 0.507
Average MCC ± 95% Confidence Intervals 0.552 ± 0.215
Sensitivity 0.464
Positive Predictive Value 0.558
Nr of predictions 8

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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 0.85 0.73 1.00 8 398 0 0 0 0 3
2L94_A 0.55 0.50 0.63 10 974 6 0 6 0 10
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3JYX_4 0.28 0.27 0.30 9 12216 33 5 16 12 24
3O58_3 0.32 0.34 0.30 12 12363 28 12 16 0 23
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.68 0.60 0.78 25 3884 7 1 6 0 17
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27

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