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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidAlifold(20) Murlet(20)
MCC 0.680 > 0.581
Average MCC ± 95% Confidence Intervals 0.670 ± 0.063 > 0.583 ± 0.069
Sensitivity 0.520 > 0.425
Positive Predictive Value 0.892 > 0.798
Total TP 519 > 424
Total TN 201737 < 201788
Total FP 102 < 138
Total FP CONTRA 13 = 13
Total FP INCONS 50 < 94
Total FP COMP 39 > 31
Total FN 479 < 574
P-value 5.06544643719e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 519
Total TN 201737
Total FP 102
Total FP CONTRA 13
Total FP INCONS 50
Total FP COMP 39
Total FN 479
Total Scores
MCC 0.680
Average MCC ± 95% Confidence Intervals 0.670 ± 0.063
Sensitivity 0.520
Positive Predictive Value 0.892
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.61 0.55 0.69 11 974 5 0 5 0 9
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.46 0.25 0.83 5 4554 6 0 1 5 15
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.44 0.19 1.00 8 5143 3 0 0 3 34
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
3GX2_A 0.77 0.60 1.00 24 4347 1 0 0 1 16
3IVN_B 0.78 0.65 0.95 20 2325 1 1 0 0 11
3IZ4_A 0.58 0.39 0.88 51 70818 7 3 4 0 81
3IZF_C 0.75 0.61 0.92 33 6867 4 0 3 1 21
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_3 0.61 0.56 0.68 15 6306 20 0 7 13 12
3JYX_4 0.39 0.27 0.56 9 12230 9 0 7 2 24
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.70 0.54 0.89 25 6993 5 1 2 2 21
3O58_2 0.78 0.76 0.81 29 7224 9 2 5 2 9
3O58_3 0.54 0.31 0.92 11 12391 1 0 1 0 24
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
4A1C_2 0.26 0.15 0.45 5 11770 8 1 5 2 28
4A1C_3 0.76 0.63 0.92 34 7103 4 0 3 1 20
4AOB_A 0.75 0.57 1.00 24 4347 1 0 0 1 18
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
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 424
Total TN 201788
Total FP 138
Total FP CONTRA 13
Total FP INCONS 94
Total FP COMP 31
Total FN 574
Total Scores
MCC 0.581
Average MCC ± 95% Confidence Intervals 0.583 ± 0.069
Sensitivity 0.425
Positive Predictive Value 0.798
Nr of predictions 26

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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
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
2XXA_G 0.41 0.17 1.00 7 5144 0 0 0 0 35
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
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_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
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.