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 PPfold(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) PPfold(seed)
MCC 0.497 > 0.277
Average MCC ± 95% Confidence Intervals 0.476 ± 0.217 > 0.187 ± 0.205
Sensitivity 0.412 > 0.123
Positive Predictive Value 0.608 < 0.634
Total TP 87 > 26
Total TN 23248 < 23350
Total FP 86 > 80
Total FP CONTRA 16 > 1
Total FP INCONS 40 > 14
Total FP COMP 30 < 65
Total FN 124 < 185
P-value 0.0

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and PPfold(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 PPfold(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 87
Total TN 23248
Total FP 86
Total FP CONTRA 16
Total FP INCONS 40
Total FP COMP 30
Total FN 124
Total Scores
MCC 0.497
Average MCC ± 95% Confidence Intervals 0.476 ± 0.217
Sensitivity 0.412
Positive Predictive Value 0.608
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
2LC8_A -0.03 0.00 0.00 0 518 10 0 10 0 18
3J3E_8 0.18 0.20 0.18 3 2725 22 5 9 8 12
3J3F_8 0.47 0.47 0.47 9 4742 18 5 5 8 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
3W3S_B 0.60 0.36 1.00 12 1977 1 0 0 1 21
3ZEX_C 0.39 0.31 0.50 9 5356 14 2 7 5 20
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12
4JF2_A 0.64 0.42 1.00 10 1072 0 0 0 0 14

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Performance of PPfold(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 26
Total TN 23350
Total FP 80
Total FP CONTRA 1
Total FP INCONS 14
Total FP COMP 65
Total FN 185
Total Scores
MCC 0.277
Average MCC ± 95% Confidence Intervals 0.187 ± 0.205
Sensitivity 0.123
Positive Predictive Value 0.634
Nr of predictions 9

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2. Individual counts for PPfold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.49 0.33 0.75 6 520 2 0 2 0 12
3J3E_8 0.00 0.00 0.00 0 2742 6 0 0 6 15
3J3F_8 0.19 0.11 0.33 2 4755 24 0 4 20 17
3RKF_A 0.00 0.00 0.00 0 866 0 0 0 0 24
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W3S_B 0.00 0.00 0.00 0 1989 0 0 0 0 33
3ZEX_C 0.15 0.07 0.33 2 5368 24 0 4 20 27
4A1C_2 0.10 0.05 0.20 1 4511 23 0 4 19 19
4JF2_A 0.76 0.63 0.94 15 1066 1 1 0 0 9

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