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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(seed) Murlet(seed)
MCC 0.756 > 0.584
Average MCC ± 95% Confidence Intervals 0.632 ± 0.056 > 0.476 ± 0.098
Sensitivity 0.668 > 0.492
Positive Predictive Value 0.856 > 0.694
Total TP 480 > 354
Total TN 1015058 < 1015109
Total FP 104 < 180
Total FP CONTRA 9 > 6
Total FP INCONS 72 < 150
Total FP COMP 23 < 24
Total FN 239 < 365
P-value 2.52609899389e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 480
Total TN 1015058
Total FP 104
Total FP CONTRA 9
Total FP INCONS 72
Total FP COMP 23
Total FN 239
Total Scores
MCC 0.756
Average MCC ± 95% Confidence Intervals 0.632 ± 0.056
Sensitivity 0.668
Positive Predictive Value 0.856
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01343 0.83 0.79 0.88 344 977508 71 5 44 22 90
PDB_00005 0.59 0.36 1.00 5 941 0 0 0 0 9
PDB_00716 0.60 0.43 0.83 10 2689 2 0 2 0 13
PDB_01092 0.70 0.54 0.90 28 10122 4 0 3 1 24
RFA_00632 0.49 0.32 0.75 9 4083 3 2 1 0 19
RFA_00636 0.49 0.32 0.75 9 3993 3 2 1 0 19
RFA_00767 0.65 0.56 0.77 10 1878 3 0 3 0 8
RFA_00768 0.65 0.56 0.77 10 1878 3 0 3 0 8
RFA_00769 0.65 0.56 0.77 10 1940 3 0 3 0 8
RFA_00770 0.65 0.56 0.77 10 2003 3 0 3 0 8
RFA_00773 0.65 0.56 0.77 10 1940 3 0 3 0 8
RFA_00779 0.65 0.56 0.77 10 1940 3 0 3 0 8
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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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.