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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 RNASLOpt - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) RNASLOpt
MCC 0.657 > 0.635
Average MCC ± 95% Confidence Intervals 0.648 ± 0.047 > 0.635 ± 0.113
Sensitivity 0.522 < 0.565
Positive Predictive Value 0.833 > 0.718
Total TP 205 < 222
Total TN 48884 > 48821
Total FP 44 < 92
Total FP CONTRA 10 > 9
Total FP INCONS 31 < 78
Total FP COMP 3 < 5
Total FN 188 > 171
P-value 6.9050074835e-07

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Performance plots


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

  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 RNASLOpt).

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

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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 205
Total TN 48884
Total FP 44
Total FP CONTRA 10
Total FP INCONS 31
Total FP COMP 3
Total FN 188
Total Scores
MCC 0.657
Average MCC ± 95% Confidence Intervals 0.648 ± 0.047
Sensitivity 0.522
Positive Predictive Value 0.833
Nr of predictions 17

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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
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_00828 0.70 0.59 0.84 16 2466 3 2 1 0 11
PDB_00829 0.75 0.67 0.84 16 2259 3 2 1 0 8
PDB_01020 0.73 0.65 0.83 15 2260 4 2 1 1 8
PDB_01073 0.80 0.65 1.00 22 4349 1 0 0 1 12
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 RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 222
Total TN 48821
Total FP 92
Total FP CONTRA 9
Total FP INCONS 78
Total FP COMP 5
Total FN 171
Total Scores
MCC 0.635
Average MCC ± 95% Confidence Intervals 0.635 ± 0.113
Sensitivity 0.565
Positive Predictive Value 0.718
Nr of predictions 17

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2. Individual counts for RNASLOpt [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.88 0.79 1.00 11 935 0 0 0 0 3
PDB_00716 -0.01 0.00 0.00 0 2680 22 0 21 1 23
PDB_00828 0.88 0.78 1.00 21 2464 0 0 0 0 6
PDB_00829 0.86 0.75 1.00 18 2260 0 0 0 0 6
PDB_01020 0.86 0.74 1.00 17 2261 1 0 0 1 6
PDB_01073 0.56 0.47 0.67 16 4347 9 0 8 1 18
PDB_01092 0.74 0.63 0.87 33 10115 7 1 4 2 19
RFA_00632 0.59 0.57 0.62 16 4069 10 2 8 0 12
RFA_00636 0.65 0.64 0.67 18 3978 9 2 7 0 10
RFA_00767 0.63 0.56 0.71 10 1877 4 0 4 0 8
RFA_00768 0.61 0.56 0.67 10 1876 5 0 5 0 8
RFA_00769 0.59 0.56 0.63 10 1937 6 1 5 0 8
RFA_00770 0.47 0.39 0.58 7 2004 5 1 4 0 11
RFA_00773 0.59 0.56 0.63 10 1937 6 1 5 0 8
RFA_00779 0.74 0.56 1.00 10 1943 0 0 0 0 8
RFA_00808 0.75 0.56 1.00 9 2007 0 0 0 0 7
RFA_00809 0.40 0.38 0.43 6 2131 8 1 7 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.