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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric McQFold PPfold(seed)
MCC 0.643 > 0.202
Average MCC ± 95% Confidence Intervals 0.666 ± 0.159 > 0.099 ± 0.109
Sensitivity 0.662 > 0.066
Positive Predictive Value 0.634 = 0.634
Total TP 260 > 26
Total TN 32301 < 32670
Total FP 190 > 80
Total FP CONTRA 54 > 1
Total FP INCONS 96 > 14
Total FP COMP 40 < 65
Total FN 133 < 367
P-value 3.10499527239e-08

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Performance plots


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

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

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Performance of McQFold - scored higher in this pairwise comparison

1. Total counts & total scores for McQFold

Total Base Pair Counts
Total TP 260
Total TN 32301
Total FP 190
Total FP CONTRA 54
Total FP INCONS 96
Total FP COMP 40
Total FN 133
Total Scores
MCC 0.643
Average MCC ± 95% Confidence Intervals 0.666 ± 0.159
Sensitivity 0.662
Positive Predictive Value 0.634
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.64 0.61 0.69 11 512 5 1 4 0 7
3J20_0 0.74 0.76 0.73 16 1197 7 3 3 1 5
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 -0.01 0.00 0.00 0 2718 36 8 16 12 15
3J3F_8 0.31 0.42 0.23 8 4726 41 12 15 14 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.82 0.83 0.83 24 1504 5 1 4 0 5
3W1K_J 0.86 0.77 0.96 24 1653 1 1 0 0 7
3W3S_B 0.49 0.45 0.54 15 1961 14 1 12 1 18
3ZEX_C 0.33 0.34 0.32 10 5343 25 4 17 4 19
4A1C_2 0.19 0.25 0.16 5 4484 33 11 16 6 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.93 0.88 1.00 21 1181 0 0 0 0 3
4FRN_A 0.82 0.71 0.95 20 1827 1 1 0 0 8
4JF2_A 0.92 1.00 0.86 24 1054 5 4 0 1 0

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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 32670
Total FP 80
Total FP CONTRA 1
Total FP INCONS 14
Total FP COMP 65
Total FN 367
Total Scores
MCC 0.202
Average MCC ± 95% Confidence Intervals 0.099 ± 0.109
Sensitivity 0.066
Positive Predictive Value 0.634
Nr of predictions 17

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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
3J20_0 0.00 0.00 0.00 0 1219 0 0 0 0 21
3J3D_C 0.00 0.00 0.00 0 968 0 0 0 0 19
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
3W1K_J 0.00 0.00 0.00 0 1678 0 0 0 0 31
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
4AOB_A 0.00 0.00 0.00 0 1437 0 0 0 0 29
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 0 24
4FRN_A 0.00 0.00 0.00 0 1848 0 0 0 0 28
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.