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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidAlifold(seed) Murlet(seed)
MCC 0.810 > 0.584
Average MCC ± 95% Confidence Intervals 0.729 ± 0.056 > 0.476 ± 0.098
Sensitivity 0.718 > 0.492
Positive Predictive Value 0.915 > 0.694
Total TP 516 > 354
Total TN 1015055 < 1015109
Total FP 80 < 180
Total FP CONTRA 8 > 6
Total FP INCONS 40 < 150
Total FP COMP 32 > 24
Total FN 203 < 365
P-value 2.32677072069e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(seed) and Murlet(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 CentroidAlifold(seed) and Murlet(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 CentroidAlifold(seed) and Murlet(seed)).

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

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

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

Total Base Pair Counts
Total TP 516
Total TN 1015055
Total FP 80
Total FP CONTRA 8
Total FP INCONS 40
Total FP COMP 32
Total FN 203
Total Scores
MCC 0.810
Average MCC ± 95% Confidence Intervals 0.729 ± 0.056
Sensitivity 0.718
Positive Predictive Value 0.915
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01343 0.86 0.81 0.92 351 977520 61 3 27 31 83
PDB_00005 0.80 0.64 1.00 9 937 0 0 0 0 5
PDB_00716 0.75 0.61 0.93 14 2686 1 0 1 0 9
PDB_01092 0.72 0.58 0.91 30 10120 4 0 3 1 22
RFA_00632 0.74 0.64 0.86 18 4074 3 2 1 0 10
RFA_00636 0.78 0.68 0.90 19 3984 2 2 0 0 9
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 0.74 0.56 1.00 10 1943 0 0 0 0 8
RFA_00770 0.74 0.56 1.00 10 2006 0 0 0 0 8
RFA_00773 0.74 0.56 1.00 10 1943 0 0 0 0 8
RFA_00779 0.74 0.56 1.00 10 1943 0 0 0 0 8
RFA_00808 0.65 0.56 0.75 9 2004 3 1 2 0 7
RFA_00809 0.43 0.38 0.50 6 2133 6 0 6 0 10

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

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

Total Base Pair Counts
Total TP 354
Total TN 1015109
Total FP 180
Total FP CONTRA 6
Total FP INCONS 150
Total FP COMP 24
Total FN 365
Total Scores
MCC 0.584
Average MCC ± 95% Confidence Intervals 0.476 ± 0.098
Sensitivity 0.492
Positive Predictive Value 0.694
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01343 0.64 0.61 0.68 263 977515 145 6 117 22 171
PDB_00005 0.53 0.29 1.00 4 942 2 0 0 2 10
PDB_00716 0.23 0.13 0.43 3 2694 4 0 4 0 20
PDB_01092 0.69 0.48 1.00 25 10128 0 0 0 0 27
RFA_00632 0.21 0.11 0.43 3 4088 4 0 4 0 25
RFA_00636 0.21 0.11 0.43 3 3998 4 0 4 0 25
RFA_00767 0.47 0.33 0.67 6 1882 3 0 3 0 12
RFA_00768 0.41 0.28 0.63 5 1883 3 0 3 0 13
RFA_00769 0.57 0.44 0.73 8 1942 3 0 3 0 10
RFA_00770 0.57 0.44 0.73 8 2005 3 0 3 0 10
RFA_00773 0.41 0.28 0.63 5 1945 3 0 3 0 13
RFA_00779 0.47 0.33 0.67 6 1944 3 0 3 0 12
RFA_00808 0.75 0.56 1.00 9 2007 0 0 0 0 7
RFA_00809 0.50 0.38 0.67 6 2136 3 0 3 0 10

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