CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of ContextFold - scored higher in this pairwise comparison

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

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


Overview

Metric ContextFold PPfold(seed)
MCC 0.657 > 0.100
Average MCC ± 95% Confidence Intervals 0.656 ± 0.108 > 0.046 ± 0.066
Sensitivity 0.527 > 0.019
Positive Predictive Value 0.824 > 0.524
Total TP 300 > 11
Total TN 81672 < 82015
Total FP 88 > 47
Total FP CONTRA 7 > 0
Total FP INCONS 57 > 10
Total FP COMP 24 < 37
Total FN 269 < 558
P-value 2.97012568641e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for ContextFold 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 ContextFold and PPfold(seed)).

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Performance of ContextFold - scored higher in this pairwise comparison

1. Total counts & total scores for ContextFold

Total Base Pair Counts
Total TP 300
Total TN 81672
Total FP 88
Total FP CONTRA 7
Total FP INCONS 57
Total FP COMP 24
Total FN 269
Total Scores
MCC 0.657
Average MCC ± 95% Confidence Intervals 0.656 ± 0.108
Sensitivity 0.527
Positive Predictive Value 0.824
Nr of predictions 16

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2. Individual counts for ContextFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.55 0.50 0.63 10 1524 6 0 6 0 10
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.84 0.70 1.00 21 2829 1 0 0 1 9
3J2L_3 0.79 0.62 1.00 33 7842 2 0 0 2 20
3UZL_B 0.72 0.54 0.95 20 3549 1 0 1 0 17
3W3S_B 0.79 0.70 0.90 28 4722 4 0 3 1 12
3ZEX_C 0.33 0.25 0.45 13 14167 22 1 15 6 39
3ZEX_D 0.81 0.67 0.97 33 6987 1 0 1 0 16
4A1C_3 0.78 0.63 0.97 34 7105 1 0 1 0 20
4A1C_2 0.20 0.15 0.28 5 11763 26 0 13 13 28
4AOB_A 0.52 0.40 0.68 17 4346 9 1 7 1 25
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.71 0.56 0.90 18 3466 2 1 1 0 14
4FRN_A 0.40 0.33 0.50 12 5127 12 3 9 0 24

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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 11
Total TN 82015
Total FP 47
Total FP CONTRA 0
Total FP INCONS 10
Total FP COMP 37
Total FN 558
Total Scores
MCC 0.100
Average MCC ± 95% Confidence Intervals 0.046 ± 0.066
Sensitivity 0.019
Positive Predictive Value 0.524
Nr of predictions 16

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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 0.47 0.30 0.75 6 1532 2 0 2 0 14
3J16_L 0.00 0.00 0.00 0 2775 0 0 0 0 30
3J20_1 0.00 0.00 0.00 0 2926 0 0 0 0 23
3J20_0 0.00 0.00 0.00 0 2850 0 0 0 0 30
3J2L_3 0.00 0.00 0.00 0 7875 0 0 0 0 53
3UZL_B 0.00 0.00 0.00 0 3570 0 0 0 0 37
3W3S_B 0.00 0.00 0.00 0 4753 0 0 0 0 40
3ZEX_C 0.20 0.08 0.50 4 14188 22 0 4 18 48
3ZEX_D 0.00 0.00 0.00 0 7021 0 0 0 0 49
4A1C_3 0.00 0.00 0.00 0 7140 0 0 0 0 54
4A1C_2 0.08 0.03 0.20 1 11776 23 0 4 19 32
4AOB_A 0.00 0.00 0.00 0 4371 0 0 0 0 42
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19
4FRG_B 0.00 0.00 0.00 0 3486 0 0 0 0 32
4FRN_A 0.00 0.00 0.00 0 5151 0 0 0 0 36

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