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 RSpredict(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for ContextFold & RSpredict(20) [.zip] - may take several seconds...


Overview

Metric ContextFold RSpredict(20)
MCC 0.558 > 0.419
Average MCC ± 95% Confidence Intervals 0.569 ± 0.212 > 0.428 ± 0.198
Sensitivity 0.544 > 0.388
Positive Predictive Value 0.580 > 0.462
Total TP 112 > 80
Total TN 22994 < 23014
Total FP 129 > 117
Total FP CONTRA 37 > 35
Total FP INCONS 44 < 58
Total FP COMP 48 > 24
Total FN 94 < 126
P-value 8.70625200892e-09

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Performance plots


  1. Comparison of performance of ContextFold and RSpredict(20). 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 RSpredict(20)).

  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 RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for ContextFold and RSpredict(20). 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 RSpredict(20)).

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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 112
Total TN 22994
Total FP 129
Total FP CONTRA 37
Total FP INCONS 44
Total FP COMP 48
Total FN 94
Total Scores
MCC 0.558
Average MCC ± 95% Confidence Intervals 0.569 ± 0.212
Sensitivity 0.544
Positive Predictive Value 0.580
Nr of predictions 10

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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
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J3D_C 0.79 0.79 0.79 15 949 4 3 1 0 4
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
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

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Performance of RSpredict(20) - scored lower in this pairwise comparison

1. Total counts & total scores for RSpredict(20)

Total Base Pair Counts
Total TP 80
Total TN 23014
Total FP 117
Total FP CONTRA 35
Total FP INCONS 58
Total FP COMP 24
Total FN 126
Total Scores
MCC 0.419
Average MCC ± 95% Confidence Intervals 0.428 ± 0.198
Sensitivity 0.388
Positive Predictive Value 0.462
Nr of predictions 10

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2. Individual counts for RSpredict(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J3D_C 0.82 0.84 0.80 16 948 4 3 1 0 3
3J3E_8 -0.01 0.00 0.00 0 2724 19 5 13 1 15
3J3F_8 0.42 0.47 0.38 9 4737 26 9 6 11 10
3ZEX_C 0.34 0.31 0.38 9 5350 19 3 12 4 20
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9
4FRG_B 0.19 0.13 0.33 3 1193 6 1 5 0 21

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