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(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) RSpredict(seed)
MCC 0.546 > 0.364
Average MCC ± 95% Confidence Intervals 0.548 ± 0.226 > 0.327 ± 0.275
Sensitivity 0.409 > 0.203
Positive Predictive Value 0.734 > 0.659
Total TP 113 > 56
Total TN 50350 < 50419
Total FP 56 > 30
Total FP CONTRA 4 > 1
Total FP INCONS 37 > 28
Total FP COMP 15 > 1
Total FN 163 < 220
P-value 0.0

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Performance plots


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

  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(seed)).

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

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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 113
Total TN 50350
Total FP 56
Total FP CONTRA 4
Total FP INCONS 37
Total FP COMP 15
Total FN 163
Total Scores
MCC 0.546
Average MCC ± 95% Confidence Intervals 0.548 ± 0.226
Sensitivity 0.409
Positive Predictive Value 0.734
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
2LC8_A -0.01 0.00 0.00 0 1530 10 0 10 0 20
3A3A_A 0.70 0.49 1.00 18 3637 0 0 0 0 19
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(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 56
Total TN 50419
Total FP 30
Total FP CONTRA 1
Total FP INCONS 28
Total FP COMP 1
Total FN 220
Total Scores
MCC 0.364
Average MCC ± 95% Confidence Intervals 0.327 ± 0.275
Sensitivity 0.203
Positive Predictive Value 0.659
Nr of predictions 9

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2. Individual counts for RSpredict(seed) [ 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
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3A3A_A 0.48 0.30 0.79 11 3641 3 0 3 0 26
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33

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