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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric Cylofold RSpredict(seed)
MCC 0.659 > 0.150
Average MCC ± 95% Confidence Intervals 0.682 ± 0.094 > 0.116 ± 0.110
Sensitivity 0.554 > 0.061
Positive Predictive Value 0.789 > 0.379
Total TP 300 > 33
Total TN 69465 < 69758
Total FP 96 > 54
Total FP CONTRA 12 > 0
Total FP INCONS 68 > 54
Total FP COMP 16 > 0
Total FN 242 < 509
P-value 2.64318034126e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Cylofold 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 Cylofold and RSpredict(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 300
Total TN 69465
Total FP 96
Total FP CONTRA 12
Total FP INCONS 68
Total FP COMP 16
Total FN 242
Total Scores
MCC 0.659
Average MCC ± 95% Confidence Intervals 0.682 ± 0.094
Sensitivity 0.554
Positive Predictive Value 0.789
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
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2XQD_Y 0.81 0.78 0.84 21 2825 4 4 0 0 6
3AKZ_H 0.66 0.57 0.76 16 2680 6 0 5 1 12
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3IZF_C 0.68 0.56 0.83 30 6867 6 0 6 0 24
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3O58_3 0.36 0.34 0.38 12 12371 29 5 15 9 23
3O58_2 0.80 0.68 0.93 26 7232 3 0 2 1 12
3PDR_A 0.72 0.54 0.95 39 12839 4 0 2 2 33
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
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

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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 33
Total TN 69758
Total FP 54
Total FP CONTRA 0
Total FP INCONS 54
Total FP COMP 0
Total FN 509
Total Scores
MCC 0.150
Average MCC ± 95% Confidence Intervals 0.116 ± 0.110
Sensitivity 0.061
Positive Predictive Value 0.379
Nr of predictions 16

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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
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
3AKZ_H 0.00 0.00 0.00 0 2699 2 0 2 0 28
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
3IZF_C 0.00 0.00 0.00 0 6898 5 0 5 0 54
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
3PDR_A 0.00 0.00 0.00 0 12872 8 0 8 0 72
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
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16

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