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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(20) Murlet(20)
MCC 0.612 > 0.590
Average MCC ± 95% Confidence Intervals 0.633 ± 0.067 > 0.587 ± 0.059
Sensitivity 0.471 > 0.438
Positive Predictive Value 0.799 > 0.799
Total TP 708 > 658
Total TN 283821 < 283883
Total FP 252 > 210
Total FP CONTRA 28 > 17
Total FP INCONS 150 > 149
Total FP COMP 74 > 44
Total FN 796 < 846
P-value 3.56938820447e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 708
Total TN 283821
Total FP 252
Total FP CONTRA 28
Total FP INCONS 150
Total FP COMP 74
Total FN 796
Total Scores
MCC 0.612
Average MCC ± 95% Confidence Intervals 0.633 ± 0.067
Sensitivity 0.471
Positive Predictive Value 0.799
Nr of predictions 38

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2. Individual counts for RNASampler(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 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.82 0.70 0.95 19 2983 3 0 1 2 8
3G4S_9 0.50 0.28 0.89 16 7363 2 1 1 0 41
3GX2_A 0.74 0.55 1.00 22 4349 1 0 0 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.47 0.32 0.69 42 70815 23 6 13 4 90
3IZF_C 0.74 0.57 0.97 31 6871 1 0 1 0 23
3J20_0 0.80 0.67 0.95 20 2829 2 0 1 1 10
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.45 0.32 0.63 17 7848 12 1 9 2 36
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_7 0.62 0.48 0.81 26 7108 6 0 6 0 28
3J3E_8 0.12 0.09 0.18 3 7486 21 2 12 7 30
3J3F_7 0.66 0.52 0.84 26 7229 5 0 5 0 24
3J3F_8 0.39 0.33 0.46 12 12220 17 1 13 3 24
3J3V_B 0.63 0.42 0.96 24 6996 1 0 1 0 33
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_4 0.32 0.30 0.34 10 12217 26 4 15 7 23
3JYX_3 0.58 0.44 0.75 12 6312 11 0 4 7 15
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.68 0.48 0.96 22 6998 4 1 0 3 24
3O58_2 0.79 0.71 0.87 27 7229 5 2 2 1 11
3O58_3 0.43 0.34 0.55 12 12381 18 2 8 8 23
3PDR_A 0.70 0.53 0.93 38 12839 5 0 3 2 34
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.67 0.48 0.95 20 3895 1 0 1 0 22
3ZEX_D 0.68 0.49 0.96 24 6996 1 0 1 0 25
3ZEX_C 0.27 0.19 0.38 10 14170 20 1 15 4 42
3ZND_W 0.41 0.39 0.43 9 2982 15 2 10 3 14
4A1C_2 0.18 0.15 0.23 5 11759 30 0 17 13 28
4A1C_3 0.74 0.56 1.00 30 7110 0 0 0 0 24
4AOB_A 0.58 0.40 0.85 17 4351 4 0 3 1 25
4ENB_A 0.60 0.37 1.00 7 1268 0 0 0 0 12
4ENC_A 0.76 0.58 1.00 11 1315 0 0 0 0 8
4FRG_B 0.55 0.41 0.76 13 3469 4 0 4 0 19

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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 658
Total TN 283883
Total FP 210
Total FP CONTRA 17
Total FP INCONS 149
Total FP COMP 44
Total FN 846
Total Scores
MCC 0.590
Average MCC ± 95% Confidence Intervals 0.587 ± 0.059
Sensitivity 0.438
Positive Predictive Value 0.799
Nr of predictions 38

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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
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
3J3D_C 0.78 0.64 0.95 18 2756 1 0 1 0 10
3J3E_7 0.77 0.63 0.94 34 7104 2 0 2 0 20
3J3E_8 0.24 0.15 0.38 5 7490 13 1 7 5 28
3J3F_7 0.69 0.50 0.96 25 7234 1 0 1 0 25
3J3F_8 0.48 0.36 0.65 13 12226 10 0 7 3 23
3J3V_B 0.63 0.40 1.00 23 6998 0 0 0 0 34
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
3JYX_3 0.60 0.52 0.70 14 6308 11 0 6 5 13
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
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
3ZEX_C 0.34 0.23 0.50 12 14172 15 1 11 3 40
3ZND_W 0.45 0.39 0.53 9 2986 11 0 8 3 14
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.