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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of MaxExpect - scored higher in this pairwise comparison

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

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


Overview

Metric MaxExpect Murlet(20)
MCC 0.580 > 0.576
Average MCC ± 95% Confidence Intervals 0.583 ± 0.073 > 0.574 ± 0.065
Sensitivity 0.503 > 0.424
Positive Predictive Value 0.674 < 0.786
Total TP 622 > 525
Total TN 239750 < 240005
Total FP 393 > 179
Total FP CONTRA 34 > 15
Total FP INCONS 267 > 128
Total FP COMP 92 > 36
Total FN 615 < 712
P-value 0.000609097173132

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Performance plots


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

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

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Performance of MaxExpect - scored higher in this pairwise comparison

1. Total counts & total scores for MaxExpect

Total Base Pair Counts
Total TP 622
Total TN 239750
Total FP 393
Total FP CONTRA 34
Total FP INCONS 267
Total FP COMP 92
Total FN 615
Total Scores
MCC 0.580
Average MCC ± 95% Confidence Intervals 0.583 ± 0.073
Sensitivity 0.503
Positive Predictive Value 0.674
Nr of predictions 32

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2. Individual counts for MaxExpect [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2WRQ_Y 0.53 0.53 0.53 9 2833 13 5 3 5 8
2XKV_B 0.51 0.50 0.53 10 4541 24 0 9 15 10
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.25 0.24 0.27 10 5114 27 1 26 0 32
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3AMU_B 0.64 0.59 0.70 16 2980 9 0 7 2 11
3GX2_A 0.77 0.63 0.96 25 4345 2 0 1 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.54 0.46 0.64 61 70781 39 3 31 5 71
3IZF_C 0.71 0.61 0.83 33 6863 7 1 6 0 21
3J20_0 0.44 0.40 0.50 12 2826 13 0 12 1 18
3J20_1 0.73 0.70 0.76 16 2905 5 0 5 0 7
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3JYV_7 0.41 0.31 0.56 10 2832 8 0 8 0 22
3JYX_3 0.64 0.63 0.65 17 6302 19 1 8 10 10
3JYX_4 0.31 0.30 0.31 10 12214 34 4 18 12 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.71 0.61 0.82 28 6987 9 0 6 3 18
3O58_3 0.35 0.34 0.35 12 12369 35 2 20 13 23
3O58_2 0.75 0.76 0.74 29 7221 11 3 7 1 9
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.58 0.48 0.71 20 3888 8 1 7 0 22
3ZEX_C 0.41 0.27 0.64 14 14174 16 2 6 8 38
3ZEX_D 0.69 0.61 0.79 30 6983 8 1 7 0 19
4A1C_2 0.14 0.15 0.14 5 11746 41 4 26 11 28
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.31 0.26 0.38 5 1313 8 1 7 0 14
4FRG_B 0.30 0.22 0.41 7 3469 10 1 9 0 25

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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 525
Total TN 240005
Total FP 179
Total FP CONTRA 15
Total FP INCONS 128
Total FP COMP 36
Total FN 712
Total Scores
MCC 0.576
Average MCC ± 95% Confidence Intervals 0.574 ± 0.065
Sensitivity 0.424
Positive Predictive Value 0.786
Nr of predictions 32

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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
3J20_0 0.58 0.47 0.74 14 2831 5 0 5 0 16
3J20_1 0.68 0.57 0.81 13 2910 3 0 3 0 10
3J2L_3 0.69 0.49 0.96 26 7848 3 0 1 2 27
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_3 0.33 0.23 0.47 8 12386 12 2 7 3 27
3O58_2 0.89 0.82 0.97 31 7228 2 0 1 1 7
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
3ZEX_C 0.34 0.23 0.50 12 14172 15 1 11 3 40
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
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
4FRG_B 0.17 0.13 0.25 4 3470 12 1 11 0 28

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