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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of TurboFold(seed) - scored higher in this pairwise comparison

  4. Performance of Murlet(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for TurboFold(seed) & Murlet(20) [.zip] - may take several seconds...


Overview

Metric TurboFold(seed) Murlet(20)
MCC 0.902 > 0.628
Average MCC ± 95% Confidence Intervals 0.884 ± 0.129 > 0.631 ± 0.177
Sensitivity 0.892 > 0.414
Positive Predictive Value 0.914 < 0.957
Total TP 338 > 157
Total TN 56626 < 56832
Total FP 61 > 28
Total FP CONTRA 5 > 0
Total FP INCONS 27 > 7
Total FP COMP 29 > 21
Total FN 41 < 222
P-value 2.89169006118e-08

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Performance plots


  1. Comparison of performance of TurboFold(seed) and Murlet(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 TurboFold(seed) and Murlet(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 TurboFold(seed) and Murlet(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(seed) and Murlet(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 TurboFold(seed) and Murlet(20)).

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Performance of TurboFold(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 338
Total TN 56626
Total FP 61
Total FP CONTRA 5
Total FP INCONS 27
Total FP COMP 29
Total FN 41
Total Scores
MCC 0.902
Average MCC ± 95% Confidence Intervals 0.884 ± 0.129
Sensitivity 0.892
Positive Predictive Value 0.914
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01535 0.94 0.89 1.00 33 7107 3 0 0 3 4
PDB_00012 1.00 1.00 1.00 7 399 3 0 0 3 0
RFA_00390 1.00 1.00 1.00 15 1416 2 0 0 2 0
RFA_00416 1.00 1.00 1.00 15 1470 2 0 0 2 0
RFA_00433 1.00 1.00 1.00 15 1416 2 0 0 2 0
RFA_00587 1.00 1.00 1.00 15 4836 11 0 0 11 0
RFA_00658 0.59 0.50 0.70 7 1118 5 0 3 2 7
RFA_00664 -0.01 0.00 0.00 0 980 11 0 10 1 14
RFA_00749 1.00 1.00 1.00 12 891 1 0 0 1 0
RFA_00764 1.00 1.00 1.00 12 891 1 0 0 1 0
RFA_00765 1.00 1.00 1.00 12 891 1 0 0 1 0
SRP_00084 0.88 0.88 0.88 30 5426 4 1 3 0 4
SRP_00200 0.90 0.92 0.89 33 6866 4 1 3 0 3
SRP_00231 0.91 0.91 0.91 31 5426 3 1 2 0 3
SRP_00338 0.94 0.94 0.94 34 5424 2 0 2 0 2
SRP_00357 0.93 0.94 0.92 34 5319 3 1 2 0 2
SRP_00367 0.93 0.94 0.92 33 6750 3 1 2 0 2

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

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

Total Base Pair Counts
Total TP 157
Total TN 56832
Total FP 28
Total FP CONTRA 0
Total FP INCONS 7
Total FP COMP 21
Total FN 222
Total Scores
MCC 0.628
Average MCC ± 95% Confidence Intervals 0.631 ± 0.177
Sensitivity 0.414
Positive Predictive Value 0.957
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01535 0.75 0.57 1.00 21 7119 3 0 0 3 16
PDB_00012 1.00 1.00 1.00 7 399 1 0 0 1 0
RFA_00390 0.97 0.93 1.00 14 1417 3 0 0 3 1
RFA_00416 0.97 0.93 1.00 14 1471 2 0 0 2 1
RFA_00433 1.00 1.00 1.00 15 1416 2 0 0 2 0
RFA_00587 1.00 1.00 1.00 15 4836 7 0 0 7 0
RFA_00658 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00664 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00749 0.75 0.75 0.75 9 891 4 0 3 1 3
RFA_00764 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00765 0.75 0.75 0.75 9 891 4 0 3 1 3
SRP_00084 0.45 0.21 1.00 7 5453 0 0 0 0 27
SRP_00200 0.41 0.17 1.00 6 6897 0 0 0 0 30
SRP_00231 0.45 0.21 1.00 7 5453 0 0 0 0 27
SRP_00338 0.44 0.19 1.00 7 5453 0 0 0 0 29
SRP_00357 0.55 0.31 1.00 11 5345 0 0 0 0 25
SRP_00367 0.25 0.09 0.75 3 6782 2 0 1 1 32

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