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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Cylofold PPfold(seed)
MCC 0.594 > 0.091
Average MCC ± 95% Confidence Intervals 0.618 ± 0.100 > 0.029 ± 0.063
Sensitivity 0.490 > 0.011
Positive Predictive Value 0.727 < 0.750
Total TP 261 > 6
Total TN 57690 < 58041
Total FP 105 > 2
Total FP CONTRA 8 > 0
Total FP INCONS 90 > 2
Total FP COMP 7 > 0
Total FN 272 < 527
P-value 2.41358941668e-08

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Performance plots


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

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

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Performance of Cylofold - scored higher in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 261
Total TN 57690
Total FP 105
Total FP CONTRA 8
Total FP INCONS 90
Total FP COMP 7
Total FN 272
Total Scores
MCC 0.594
Average MCC ± 95% Confidence Intervals 0.618 ± 0.100
Sensitivity 0.490
Positive Predictive Value 0.727
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.69 0.70 0.70 16 2903 7 2 5 0 7
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.62 0.50 0.78 21 3889 6 0 6 0 21
3UZL_B 0.45 0.38 0.54 14 3544 12 1 11 0 23
3W3S_B 0.44 0.38 0.52 15 4724 15 0 14 1 25
3ZEX_D 0.58 0.49 0.69 24 6986 11 0 11 0 25
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11
4FRN_A 0.20 0.14 0.31 5 5135 11 2 9 0 31

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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 6
Total TN 58041
Total FP 2
Total FP CONTRA 0
Total FP INCONS 2
Total FP COMP 0
Total FN 527
Total Scores
MCC 0.091
Average MCC ± 95% Confidence Intervals 0.029 ± 0.063
Sensitivity 0.011
Positive Predictive Value 0.750
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
3AMU_B 0.00 0.00 0.00 0 3003 0 0 0 0 27
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
3RKF_A 0.00 0.00 0.00 0 2211 0 0 0 0 34
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
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_D 0.00 0.00 0.00 0 7021 0 0 0 0 49
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.