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 MXScarna(seed) - scored lower in this pairwise comparison

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


Overview

Metric ContextFold MXScarna(seed)
MCC 0.765 > 0.728
Average MCC ± 95% Confidence Intervals 0.608 ± 0.151 > 0.549 ± 0.142
Sensitivity 0.746 > 0.688
Positive Predictive Value 0.785 > 0.772
Total TP 547 > 504
Total TN 451015 < 451059
Total FP 244 < 285
Total FP CONTRA 58 > 40
Total FP INCONS 92 < 109
Total FP COMP 94 < 136
Total FN 186 < 229
P-value 2.32677072069e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for ContextFold and MXScarna(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 MXScarna(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 547
Total TN 451015
Total FP 244
Total FP CONTRA 58
Total FP INCONS 92
Total FP COMP 94
Total FN 186
Total Scores
MCC 0.765
Average MCC ± 95% Confidence Intervals 0.608 ± 0.151
Sensitivity 0.746
Positive Predictive Value 0.785
Nr of predictions 15

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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 0.58 0.56 0.63 10 512 6 0 6 0 8
3J20_2 0.89 0.88 0.89 362 421963 88 15 28 45 50
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J3E_8 -0.01 0.00 0.00 0 2722 29 12 8 9 15
3J3F_8 0.36 0.42 0.31 8 4735 32 9 9 14 11
3W1K_J 0.90 0.87 0.93 27 1649 2 1 1 0 4
3W3S_B 0.87 0.85 0.90 28 1958 4 0 3 1 5
3ZEX_C 0.44 0.41 0.48 12 5349 23 4 9 10 17
4A1C_2 0.26 0.25 0.28 5 4498 26 3 10 13 15
4AOB_A 0.62 0.59 0.68 17 1412 9 2 6 1 12
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRG_B 0.77 0.71 0.85 17 1182 3 2 1 0 7
4FRN_A 0.42 0.39 0.46 11 1824 13 6 7 0 17
4JF2_A 0.57 0.50 0.67 12 1064 6 2 4 0 12

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Performance of MXScarna(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 504
Total TN 451059
Total FP 285
Total FP CONTRA 40
Total FP INCONS 109
Total FP COMP 136
Total FN 229
Total Scores
MCC 0.728
Average MCC ± 95% Confidence Intervals 0.549 ± 0.142
Sensitivity 0.688
Positive Predictive Value 0.772
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 518 12 0 10 2 18
3J20_2 0.83 0.82 0.84 337 421969 147 14 48 85 75
3J20_0 0.90 0.86 0.95 18 1200 1 1 0 0 3
3J3E_8 0.23 0.20 0.27 3 2731 14 3 5 6 12
3J3F_8 0.48 0.47 0.50 9 4743 21 5 4 12 10
3W1K_J 0.92 0.90 0.93 28 1648 3 1 1 1 3
3W3S_B 0.74 0.70 0.79 23 1960 7 0 6 1 10
3ZEX_C 0.39 0.31 0.50 9 5356 21 3 6 12 20
4A1C_2 0.45 0.40 0.50 8 4500 20 4 4 12 12
4AOB_A 0.71 0.69 0.74 20 1410 10 2 5 3 9
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 1 3 0 9
4FRG_B 0.49 0.42 0.59 10 1185 8 2 5 1 14
4FRN_A 0.70 0.68 0.73 19 1822 7 3 4 0 9
4JF2_A 0.41 0.33 0.53 8 1067 8 1 6 1 16

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