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Table of contents:

  1. Overview

  2. Performance Plots

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

  4. Performance of Mastr(20) - scored lower in this pairwise comparison

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


Overview

Metric Murlet(seed) Mastr(20)
MCC 0.587 > 0.539
Average MCC ± 95% Confidence Intervals 0.587 ± 0.038 > 0.498 ± 0.177
Sensitivity 0.377 < 0.380
Positive Predictive Value 0.921 > 0.777
Total TP 152 < 153
Total TN 33510 > 33478
Total FP 25 < 52
Total FP CONTRA 4 < 10
Total FP INCONS 9 < 34
Total FP COMP 12 > 8
Total FN 251 > 250
P-value 3.39090039918e-08

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Performance plots


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

  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 Murlet(seed) and Mastr(20)).

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

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

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

Total Base Pair Counts
Total TP 152
Total TN 33510
Total FP 25
Total FP CONTRA 4
Total FP INCONS 9
Total FP COMP 12
Total FN 251
Total Scores
MCC 0.587
Average MCC ± 95% Confidence Intervals 0.587 ± 0.038
Sensitivity 0.377
Positive Predictive Value 0.921
Nr of predictions 17

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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 0.54 0.30 1.00 3 171 0 0 0 0 7
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XXA_G 0.41 0.17 1.00 6 2039 0 0 0 0 29
3GX2_A 0.70 0.50 1.00 14 1435 1 0 0 1 14
3IVN_B 0.62 0.52 0.75 12 887 4 2 2 0 11
3JYX_4 0.50 0.25 1.00 3 4753 4 0 0 4 9
3LA5_A 0.67 0.56 0.82 14 937 3 1 2 0 11
3NPB_A 0.59 0.35 1.00 13 2265 2 0 0 2 24
3O58_3 0.52 0.27 1.00 6 4758 1 0 0 1 16
3PDR_A 0.53 0.28 1.00 14 4826 0 0 0 0 36
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
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

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Performance of Mastr(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 153
Total TN 33478
Total FP 52
Total FP CONTRA 10
Total FP INCONS 34
Total FP COMP 8
Total FN 250
Total Scores
MCC 0.539
Average MCC ± 95% Confidence Intervals 0.498 ± 0.177
Sensitivity 0.380
Positive Predictive Value 0.777
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 0.88 0.83 0.94 15 341 2 0 1 1 3
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3GX2_A 0.46 0.39 0.55 11 1429 10 2 7 1 17
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3JYX_4 0.00 0.00 0.00 0 4756 0 0 0 0 12
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.34 0.30 0.41 11 2251 18 1 15 2 26
3O58_3 0.00 0.00 0.00 0 4764 0 0 0 0 22
3PDR_A 0.00 0.00 0.00 0 4840 0 0 0 0 50
3RKF_A 0.84 0.71 1.00 17 849 0 0 0 0 7
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
4A1C_2 0.00 0.00 0.00 0 4516 0 0 0 0 20
4AOB_A 0.42 0.34 0.53 10 1418 10 1 8 1 19
4ENB_A 0.44 0.20 1.00 3 469 0 0 0 0 12
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 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.