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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 0.600 > 0.465
Average MCC ± 95% Confidence Intervals 0.632 ± 0.110 > 0.454 ± 0.128
Sensitivity 0.518 > 0.429
Positive Predictive Value 0.702 > 0.514
Total TP 87 > 72
Total TN 19699 > 19683
Total FP 41 < 70
Total FP CONTRA 7 < 31
Total FP INCONS 30 < 37
Total FP COMP 4 > 2
Total FN 81 < 96
P-value 0.0

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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 87
Total TN 19699
Total FP 41
Total FP CONTRA 7
Total FP INCONS 30
Total FP COMP 4
Total FN 81
Total Scores
MCC 0.600
Average MCC ± 95% Confidence Intervals 0.632 ± 0.110
Sensitivity 0.518
Positive Predictive Value 0.702
Nr of predictions 9

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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
RFA_00636 0.42 0.43 0.43 12 3977 16 2 14 0 16
RFA_00767 0.74 0.56 1.00 10 1881 0 0 0 0 8
RFA_00768 0.74 0.56 1.00 10 1881 0 0 0 0 8
RFA_00769 0.55 0.56 0.56 10 1935 8 3 5 0 8
RFA_00770 0.68 0.56 0.83 10 2004 5 0 2 3 8
RFA_00773 0.71 0.56 0.91 10 1942 2 1 0 1 8
RFA_00779 0.71 0.56 0.91 10 1942 1 0 1 0 8
RFA_00808 0.75 0.56 1.00 9 2007 0 0 0 0 7
RFA_00809 0.38 0.38 0.40 6 2130 9 1 8 0 10

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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 72
Total TN 19683
Total FP 70
Total FP CONTRA 31
Total FP INCONS 37
Total FP COMP 2
Total FN 96
Total Scores
MCC 0.465
Average MCC ± 95% Confidence Intervals 0.454 ± 0.128
Sensitivity 0.429
Positive Predictive Value 0.514
Nr of predictions 9

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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
RFA_00636 0.62 0.54 0.71 15 3984 6 3 3 0 13
RFA_00767 0.19 0.17 0.23 3 1878 10 3 7 0 15
RFA_00768 0.19 0.17 0.23 3 1878 10 3 7 0 15
RFA_00769 0.59 0.56 0.63 10 1937 6 4 2 0 8
RFA_00770 0.54 0.56 0.53 10 1997 9 6 3 0 8
RFA_00773 0.50 0.50 0.50 9 1935 9 6 3 0 9
RFA_00779 0.50 0.50 0.50 9 1935 9 6 3 0 9
RFA_00808 0.60 0.50 0.73 8 2005 4 0 3 1 8
RFA_00809 0.37 0.31 0.45 5 2134 7 0 6 1 11

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