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 Murlet(20) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) Murlet(20)
MCC 0.541 > 0.470
Average MCC ± 95% Confidence Intervals 0.585 ± 0.177 > 0.495 ± 0.153
Sensitivity 0.399 > 0.357
Positive Predictive Value 0.739 > 0.623
Total TP 116 > 104
Total TN 60338 > 60328
Total FP 60 < 78
Total FP CONTRA 5 < 6
Total FP INCONS 36 < 57
Total FP COMP 19 > 15
Total FN 175 < 187
P-value 0.0

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Performance plots


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

  2. Comparison of performance of RNASampler(seed) and Murlet(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 Murlet(20)).

  3. 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 Murlet(20)).

  4. 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 Murlet(20)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and Murlet(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 Murlet(20)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and Murlet(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 Murlet(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 116
Total TN 60338
Total FP 60
Total FP CONTRA 5
Total FP INCONS 36
Total FP COMP 19
Total FN 175
Total Scores
MCC 0.541
Average MCC ± 95% Confidence Intervals 0.585 ± 0.177
Sensitivity 0.399
Positive Predictive Value 0.739
Nr of predictions 9

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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
3ZEX_C 0.32 0.19 0.53 10 14177 13 1 8 4 42
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25

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

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

Total Base Pair Counts
Total TP 104
Total TN 60328
Total FP 78
Total FP CONTRA 6
Total FP INCONS 57
Total FP COMP 15
Total FN 187
Total Scores
MCC 0.470
Average MCC ± 95% Confidence Intervals 0.495 ± 0.153
Sensitivity 0.357
Positive Predictive Value 0.623
Nr of predictions 9

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.67 0.45 1.00 5 401 0 0 0 0 6
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
3IVN_B 0.69 0.48 1.00 15 2331 0 0 0 0 16
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
3O58_3 0.33 0.23 0.47 8 12386 12 2 7 3 27
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
3ZEX_C 0.34 0.23 0.50 12 14172 15 1 11 3 40
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28

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