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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MXScarna(20) Murlet(20)
MCC 0.621 > 0.592
Average MCC ± 95% Confidence Intervals 0.633 ± 0.075 > 0.601 ± 0.070
Sensitivity 0.518 > 0.437
Positive Predictive Value 0.748 < 0.807
Total TP 510 > 430
Total TN 198723 < 198872
Total FP 252 > 131
Total FP CONTRA 31 > 14
Total FP INCONS 141 > 89
Total FP COMP 80 > 28
Total FN 474 < 554
P-value 5.06544643719e-08

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Performance plots


  1. Comparison of performance of MXScarna(20) and Murlet(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 MXScarna(20) and Murlet(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 MXScarna(20) and Murlet(20)).

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

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

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

Total Base Pair Counts
Total TP 510
Total TN 198723
Total FP 252
Total FP CONTRA 31
Total FP INCONS 141
Total FP COMP 80
Total FN 474
Total Scores
MCC 0.621
Average MCC ± 95% Confidence Intervals 0.633 ± 0.075
Sensitivity 0.518
Positive Predictive Value 0.748
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3A2K_C 0.66 0.57 0.76 16 2905 6 1 4 1 12
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3G4S_9 0.52 0.40 0.68 23 7347 13 1 10 2 34
3GX2_A 0.70 0.58 0.85 23 4344 5 0 4 1 17
3IVN_B 0.74 0.58 0.95 18 2327 1 1 0 0 13
3IZ4_A 0.51 0.41 0.64 54 70791 32 7 24 1 78
3IZF_C 0.67 0.59 0.76 32 6861 11 1 9 1 22
3JYV_7 0.79 0.63 1.00 20 2830 0 0 0 0 12
3JYX_3 0.55 0.52 0.58 14 6304 23 0 10 13 13
3JYX_4 0.33 0.30 0.37 10 12219 32 2 15 15 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.69 0.59 0.82 27 6988 9 1 5 3 19
3O58_2 0.74 0.74 0.74 28 7222 13 4 6 3 10
3O58_3 0.52 0.40 0.67 14 12382 17 2 5 10 21
3PDR_A 0.71 0.57 0.89 41 12834 9 0 5 4 31
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.63 0.55 0.74 23 3885 8 2 6 0 19
4A1C_3 0.64 0.56 0.75 30 7100 11 2 8 1 24
4A1C_2 0.18 0.15 0.21 5 11757 36 2 17 17 28
4AOB_A 0.62 0.55 0.72 23 4339 10 0 9 1 19
4ENB_A 0.26 0.11 0.67 2 1272 1 0 1 0 17
4ENC_A 0.60 0.37 1.00 7 1319 0 0 0 0 12

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

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

Total Base Pair Counts
Total TP 430
Total TN 198872
Total FP 131
Total FP CONTRA 14
Total FP INCONS 89
Total FP COMP 28
Total FN 554
Total Scores
MCC 0.592
Average MCC ± 95% Confidence Intervals 0.601 ± 0.070
Sensitivity 0.437
Positive Predictive Value 0.807
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.67 0.45 1.00 5 401 0 0 0 0 6
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.77 0.67 0.90 18 2983 3 0 2 1 9
3G4S_9 0.58 0.39 0.88 22 7356 3 1 2 0 35
3GX2_A 0.61 0.38 1.00 15 4356 1 0 0 1 25
3IVN_B 0.69 0.48 1.00 15 2331 0 0 0 0 16
3IZ4_A 0.40 0.24 0.65 32 70827 21 1 16 4 100
3IZF_C 0.71 0.56 0.91 30 6870 4 0 3 1 24
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3JYX_3 0.60 0.52 0.70 14 6308 11 0 6 5 13
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
3LA5_A 0.68 0.47 1.00 16 2469 0 0 0 0 18
3NPB_A 0.55 0.35 0.89 16 7003 2 1 1 0 30
3O58_2 0.89 0.82 0.97 31 7228 2 0 1 1 7
3O58_3 0.33 0.23 0.47 8 12386 12 2 7 3 27
3PDR_A 0.70 0.53 0.93 38 12839 3 0 3 0 34
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14

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