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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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric TurboFold(seed) RSpredict(seed)
MCC 0.787 > 0.016
Average MCC ± 95% Confidence Intervals 0.805 ± 0.066 > 0.011 ± 0.014
Sensitivity 0.760 > 0.015
Positive Predictive Value 0.815 > 0.019
Total TP 1052 > 21
Total TN 797739 < 797932
Total FP 383 < 1113
Total FP CONTRA 40 < 186
Total FP INCONS 199 < 891
Total FP COMP 144 > 36
Total FN 332 < 1363
P-value 3.30280588002e-08

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Performance plots


  1. Comparison of performance of TurboFold(seed) and RSpredict(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 TurboFold(seed) and RSpredict(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 TurboFold(seed) and RSpredict(seed)).

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

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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 1052
Total TN 797739
Total FP 383
Total FP CONTRA 40
Total FP INCONS 199
Total FP COMP 144
Total FN 332
Total Scores
MCC 0.787
Average MCC ± 95% Confidence Intervals 0.805 ± 0.066
Sensitivity 0.760
Positive Predictive Value 0.815
Nr of predictions 18

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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
ASE_00210 0.71 0.68 0.75 44 27202 16 4 11 1 21
RFA_00626 0.90 0.85 0.95 74 56538 17 0 4 13 13
RFA_00627 0.85 0.82 0.89 71 56873 23 0 9 14 16
RFA_00628 0.92 0.90 0.95 77 57210 17 0 4 13 9
RFA_00630 0.83 0.79 0.87 69 56874 22 0 10 12 18
RFA_00805 0.87 0.82 0.93 123 133254 13 0 9 4 27
RFA_00814 0.92 0.85 1.00 35 25165 13 0 0 13 6
RFA_00816 1.00 1.00 1.00 41 23179 14 0 0 14 0
RFA_00817 0.95 0.90 1.00 37 21908 7 0 0 7 4
RFA_00818 0.85 0.80 0.89 33 20264 11 1 3 7 8
RFA_00819 0.98 0.95 1.00 39 27927 27 0 0 27 2
SRP_00241 0.56 0.59 0.54 48 45967 43 12 29 2 34
SRP_00257 0.78 0.72 0.85 78 50948 16 4 10 2 30
SRP_00308 0.76 0.74 0.77 65 36231 20 2 17 1 23
SRP_00328 0.69 0.67 0.70 57 39540 27 5 19 3 28
SRP_00329 0.65 0.64 0.67 54 39822 30 3 24 3 31
SRP_00331 0.67 0.66 0.68 57 37591 29 3 24 2 30
SRP_00340 0.61 0.61 0.61 50 41246 38 6 26 6 32

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

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

Total Base Pair Counts
Total TP 21
Total TN 797932
Total FP 1113
Total FP CONTRA 186
Total FP INCONS 891
Total FP COMP 36
Total FN 1363
Total Scores
MCC 0.016
Average MCC ± 95% Confidence Intervals 0.011 ± 0.014
Sensitivity 0.015
Positive Predictive Value 0.019
Nr of predictions 18

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
ASE_00210 0.00 0.00 0.00 0 27244 17 5 12 0 65
RFA_00626 0.00 0.00 0.00 0 56534 83 16 66 1 87
RFA_00627 0.00 0.00 0.00 0 56869 84 21 63 0 87
RFA_00628 0.00 0.00 0.00 0 57206 85 25 60 0 86
RFA_00630 0.07 0.07 0.07 6 56872 79 18 57 4 81
RFA_00805 0.07 0.06 0.08 9 133271 106 9 97 0 141
RFA_00814 0.00 0.00 0.00 0 25168 36 2 30 4 41
RFA_00816 0.00 0.00 0.00 0 23193 37 5 22 10 41
RFA_00817 0.00 0.00 0.00 0 21919 34 5 21 8 41
RFA_00818 0.00 0.00 0.00 0 20276 28 2 23 3 41
RFA_00819 0.00 0.00 0.00 0 27928 44 7 31 6 41
SRP_00241 0.00 0.00 0.00 0 45983 73 13 60 0 82
SRP_00257 0.00 0.00 0.00 0 50958 82 6 76 0 108
SRP_00308 0.08 0.07 0.09 6 36247 62 14 48 0 82
SRP_00328 0.00 0.00 0.00 0 39557 64 8 56 0 85
SRP_00329 0.00 0.00 0.00 0 39842 61 8 53 0 85
SRP_00331 0.00 0.00 0.00 0 37606 69 9 60 0 87
SRP_00340 0.00 0.00 0.00 0 41259 69 13 56 0 82

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