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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(20) Murlet(seed)
MCC 0.618 > 0.496
Average MCC ± 95% Confidence Intervals 0.596 ± 0.106 > 0.499 ± 0.053
Sensitivity 0.466 > 0.277
Positive Predictive Value 0.824 < 0.895
Total TP 229 > 136
Total TN 78760 < 78886
Total FP 61 > 20
Total FP CONTRA 7 > 5
Total FP INCONS 42 > 11
Total FP COMP 12 > 4
Total FN 262 < 355
P-value 1.42300079339e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 229
Total TN 78760
Total FP 61
Total FP CONTRA 7
Total FP INCONS 42
Total FP COMP 12
Total FN 262
Total Scores
MCC 0.618
Average MCC ± 95% Confidence Intervals 0.596 ± 0.106
Sensitivity 0.466
Positive Predictive Value 0.824
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.60 0.36 1.00 4 402 0 0 0 0 7
3GX2_A 0.77 0.60 1.00 24 4347 1 0 0 1 16
3IVN_B 0.74 0.58 0.95 18 2327 1 1 0 0 13
3JYX_4 0.39 0.30 0.50 10 12226 15 0 10 5 23
3LA5_A 0.75 0.56 1.00 19 2466 0 0 0 0 15
3NPB_A 0.68 0.48 0.96 22 6998 3 1 0 2 24
3O58_3 0.37 0.26 0.53 9 12386 8 2 6 0 26
3PDR_A 0.76 0.61 0.96 44 12834 3 0 2 1 28
3RKF_A 0.68 0.50 0.94 17 2193 1 0 1 0 17
3SD1_A 0.70 0.60 0.83 25 3886 5 1 4 0 17
4A1C_2 0.17 0.15 0.19 5 11755 23 2 19 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

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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 136
Total TN 78886
Total FP 20
Total FP CONTRA 5
Total FP INCONS 11
Total FP COMP 4
Total FN 355
Total Scores
MCC 0.496
Average MCC ± 95% Confidence Intervals 0.499 ± 0.053
Sensitivity 0.277
Positive Predictive Value 0.895
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
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3NPB_A 0.49 0.28 0.87 13 7006 2 1 1 0 33
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

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