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 Mastr(seed) - scored lower in this pairwise comparison

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


Overview

Metric ContextFold Mastr(seed)
MCC 0.657 > 0.000
Average MCC ± 95% Confidence Intervals 0.656 ± 0.108 > 0.000 ± 0.000
Sensitivity 0.527 > 0.000
Positive Predictive Value 0.824 > 0.000
Total TP 300 > 0
Total TN 81672 < 82036
Total FP 88 > 0
Total FP CONTRA 7 > 0
Total FP INCONS 57 > 0
Total FP COMP 24 > 0
Total FN 269 < 569
P-value 2.02510705504e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for ContextFold and Mastr(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 Mastr(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 Mastr(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 0
Total TN 82036
Total FP 0
Total FP CONTRA 0
Total FP INCONS 0
Total FP COMP 0
Total FN 569
Total Scores
MCC 0.000
Average MCC ± 95% Confidence Intervals 0.000 ± 0.000
Sensitivity 0.000
Positive Predictive Value 0.000
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.00 0.00 0.00 0 1540 0 0 0 0 20
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 0.00 0.00 0.00 0 14196 0 0 0 0 52
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 0.00 0.00 0.00 0 11781 0 0 0 0 33
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.