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 Multilign(seed) - scored lower in this pairwise comparison

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


Overview

Metric ContextFold Multilign(seed)
MCC 0.532 > 0.403
Average MCC ± 95% Confidence Intervals 0.538 ± 0.208 > 0.299 ± 3.931
Sensitivity 0.435 > 0.306
Positive Predictive Value 0.659 > 0.543
Total TP 27 > 19
Total TN 5870 < 5876
Total FP 15 < 17
Total FP CONTRA 1 = 1
Total FP INCONS 13 < 15
Total FP COMP 1 = 1
Total FN 35 < 43
P-value 0.0

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Performance plots


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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 27
Total TN 5870
Total FP 15
Total FP CONTRA 1
Total FP INCONS 13
Total FP COMP 1
Total FN 35
Total Scores
MCC 0.532
Average MCC ± 95% Confidence Intervals 0.538 ± 0.208
Sensitivity 0.435
Positive Predictive Value 0.659
Nr of predictions 2

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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
4AOB_A 0.52 0.40 0.68 17 4346 9 1 7 1 25

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

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

Total Base Pair Counts
Total TP 19
Total TN 5876
Total FP 17
Total FP CONTRA 1
Total FP INCONS 15
Total FP COMP 1
Total FN 43
Total Scores
MCC 0.403
Average MCC ± 95% Confidence Intervals 0.299 ± 3.931
Sensitivity 0.306
Positive Predictive Value 0.543
Nr of predictions 2

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.01 0.00 0.00 0 1528 12 1 11 0 20
4AOB_A 0.61 0.45 0.83 19 4348 5 0 4 1 23

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