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 Mastr(20) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) Mastr(20)
MCC 0.541 > 0.510
Average MCC ± 95% Confidence Intervals 0.585 ± 0.177 > 0.435 ± 0.325
Sensitivity 0.399 > 0.289
Positive Predictive Value 0.739 < 0.903
Total TP 116 > 84
Total TN 60338 < 60402
Total FP 60 > 9
Total FP CONTRA 5 > 2
Total FP INCONS 36 > 7
Total FP COMP 19 > 0
Total FN 175 < 207
P-value 0.0

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Performance plots


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

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

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

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and Mastr(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 Mastr(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 Mastr(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 84
Total TN 60402
Total FP 9
Total FP CONTRA 2
Total FP INCONS 7
Total FP COMP 0
Total FN 207
Total Scores
MCC 0.510
Average MCC ± 95% Confidence Intervals 0.435 ± 0.325
Sensitivity 0.289
Positive Predictive Value 0.903
Nr of predictions 9

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2. Individual counts for Mastr(20) [ 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 0.87 0.80 0.94 16 973 1 0 1 0 4
3IVN_B 0.78 0.65 0.95 20 2325 1 1 0 0 11
3JYX_4 0.00 0.00 0.00 0 12246 0 0 0 0 33
3O58_3 0.00 0.00 0.00 0 12403 0 0 0 0 35
3RKF_A 0.70 0.50 1.00 17 2194 0 0 0 0 17
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3ZEX_C 0.00 0.00 0.00 0 14196 0 0 0 0 52
4A1C_2 0.00 0.00 0.00 0 11781 0 0 0 0 33

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