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 0.492 > 0.423
Average MCC ± 95% Confidence Intervals 0.529 ± 0.168 > 0.460 ± 0.189
Sensitivity 0.364 < 0.369
Positive Predictive Value 0.668 > 0.489
Total TP 131 < 133
Total TN 80048 > 79972
Total FP 97 < 166
Total FP CONTRA 8 < 32
Total FP INCONS 57 < 107
Total FP COMP 32 > 27
Total FN 229 > 227
P-value 1.29018360962e-08

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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 131
Total TN 80048
Total FP 97
Total FP CONTRA 8
Total FP INCONS 57
Total FP COMP 32
Total FN 229
Total Scores
MCC 0.492
Average MCC ± 95% Confidence Intervals 0.529 ± 0.168
Sensitivity 0.364
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 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
3J3E_8 0.12 0.09 0.17 3 7485 22 2 13 7 30
3J3F_8 0.44 0.33 0.57 12 12225 15 1 8 6 24
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 RSpredict(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 133
Total TN 79972
Total FP 166
Total FP CONTRA 32
Total FP INCONS 107
Total FP COMP 27
Total FN 227
Total Scores
MCC 0.423
Average MCC ± 95% Confidence Intervals 0.460 ± 0.189
Sensitivity 0.369
Positive Predictive Value 0.489
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 0.85 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
3J3E_8 0.00 0.00 0.00 0 7484 19 4 15 0 33
3J3F_8 0.39 0.33 0.46 12 12220 23 2 12 9 24
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
3ZEX_C 0.26 0.19 0.36 10 14168 18 2 16 0 42
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.