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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of PPfold(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for PPfold(20) & Murlet(seed) [.zip] - may take several seconds...


Overview

Metric PPfold(20) Murlet(seed)
MCC 0.681 > 0.543
Average MCC ± 95% Confidence Intervals 0.664 ± 0.166 > 0.550 ± 0.119
Sensitivity 0.596 > 0.360
Positive Predictive Value 0.786 < 0.830
Total TP 121 > 73
Total TN 16099 < 16165
Total FP 43 > 17
Total FP CONTRA 3 > 1
Total FP INCONS 30 > 14
Total FP COMP 10 > 2
Total FN 82 < 130
P-value 0.0

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Performance plots


  1. Comparison of performance of PPfold(20) 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 PPfold(20) and Murlet(seed)).

  2. Comparison of performance of PPfold(20) 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 PPfold(20) and Murlet(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PPfold(20) 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 PPfold(20) and Murlet(seed)).

  4. Comparison of average Matthews Correlation Coefficients (MCCs) for PPfold(20) 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 PPfold(20) and Murlet(seed)).

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Performance of PPfold(20) - scored higher in this pairwise comparison

1. Total counts & total scores for PPfold(20)

Total Base Pair Counts
Total TP 121
Total TN 16099
Total FP 43
Total FP CONTRA 3
Total FP INCONS 30
Total FP COMP 10
Total FN 82
Total Scores
MCC 0.681
Average MCC ± 95% Confidence Intervals 0.664 ± 0.166
Sensitivity 0.596
Positive Predictive Value 0.786
Nr of predictions 9

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2. Individual counts for PPfold(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.66 0.50 0.90 9 347 1 0 1 0 9
3RKF_A 0.86 0.79 0.95 19 846 1 0 1 0 5
3SD1_A 0.81 0.76 0.88 22 1508 3 2 1 0 7
3ZEX_C 0.38 0.31 0.47 9 5355 14 0 10 4 20
4A1C_2 0.27 0.25 0.29 5 4499 16 1 11 4 15
4AOB_A 0.87 0.83 0.92 24 1411 4 0 2 2 5
4ENB_A 0.63 0.47 0.88 7 464 1 0 1 0 8
4ENC_A 0.64 0.53 0.80 8 486 2 0 2 0 7
4FRG_B 0.84 0.75 0.95 18 1183 1 0 1 0 6

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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 73
Total TN 16165
Total FP 17
Total FP CONTRA 1
Total FP INCONS 14
Total FP COMP 2
Total FN 130
Total Scores
MCC 0.543
Average MCC ± 95% Confidence Intervals 0.550 ± 0.119
Sensitivity 0.360
Positive Predictive Value 0.830
Nr of predictions 9

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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
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
3RKF_A 0.62 0.50 0.80 12 851 3 1 2 0 12
3SD1_A 0.56 0.38 0.85 11 1520 2 0 2 0 18
3ZEX_C 0.49 0.24 1.00 7 5367 0 0 0 0 22
4A1C_2 0.59 0.35 1.00 7 4509 0 0 0 0 13
4AOB_A 0.69 0.48 1.00 14 1423 1 0 0 1 15
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.17 0.13 0.25 3 1190 9 0 9 0 21

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