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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MXScarna(seed) Murlet(20)
MCC 0.775 > 0.688
Average MCC ± 95% Confidence Intervals 0.769 ± 0.061 > 0.685 ± 0.071
Sensitivity 0.732 > 0.589
Positive Predictive Value 0.825 > 0.810
Total TP 637 > 512
Total TN 89354 < 89494
Total FP 297 > 197
Total FP CONTRA 52 > 25
Total FP INCONS 83 < 95
Total FP COMP 162 > 77
Total FN 233 < 358
P-value 3.56938820447e-08

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Performance plots


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

  2. Comparison of performance of MXScarna(seed) 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(seed) and Murlet(20)).

  3. 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(seed) and Murlet(20)).

  4. 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(seed) and Murlet(20)).

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

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

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

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

Total Base Pair Counts
Total TP 637
Total TN 89354
Total FP 297
Total FP CONTRA 52
Total FP INCONS 83
Total FP COMP 162
Total FN 233
Total Scores
MCC 0.775
Average MCC ± 95% Confidence Intervals 0.769 ± 0.061
Sensitivity 0.732
Positive Predictive Value 0.825
Nr of predictions 33

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2. Individual counts for MXScarna(seed) [ 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 0.55 0.56 0.59 10 340 8 0 7 1 8
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.78 0.82 0.75 9 1823 20 0 3 17 2
2XQD_Y 0.85 0.81 0.89 17 1110 3 0 2 1 4
2XXA_G 0.74 0.69 0.80 24 2015 7 0 6 1 11
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3AMU_B 0.97 0.95 1.00 18 1139 2 0 0 2 1
3GX2_A 0.83 0.82 0.85 23 1422 7 2 2 3 5
3IVN_B 0.69 0.57 0.87 13 888 2 2 0 0 10
3IZ4_A 0.73 0.64 0.82 61 25462 22 12 1 9 34
3IZF_C 0.84 0.83 0.85 29 2606 11 0 5 6 6
3J20_0 0.90 0.86 0.95 18 1200 1 1 0 0 3
3J20_1 0.97 0.95 1.00 19 1093 1 0 0 1 1
3J2L_3 0.79 0.76 0.81 26 2988 11 1 5 5 8
3JYV_7 0.95 0.90 1.00 18 1093 2 0 0 2 2
3JYX_4 0.70 0.83 0.59 10 4739 21 6 1 14 2
3JYX_3 0.77 0.80 0.75 12 2362 24 0 4 20 3
3LA5_A 0.82 0.72 0.95 18 935 1 1 0 0 7
3NPB_A 0.76 0.70 0.84 26 2247 10 2 3 5 11
3O58_2 0.93 0.94 0.94 29 2723 11 0 2 9 2
3O58_3 0.54 0.50 0.58 11 4745 20 5 3 12 11
3PDR_A 0.87 0.88 0.86 44 4789 10 4 3 3 6
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3SD1_A 0.74 0.76 0.73 22 1503 9 4 4 1 7
3ZEX_C 0.39 0.31 0.50 9 5356 21 3 6 12 20
3ZEX_D 0.87 0.86 0.88 30 2762 11 0 4 7 5
4A1C_3 0.92 0.92 0.92 34 2726 6 0 3 3 3
4A1C_2 0.45 0.40 0.50 8 4500 20 4 4 12 12
4AOB_A 0.71 0.69 0.74 20 1410 10 2 5 3 9
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 1 3 0 9
4FRG_B 0.49 0.42 0.59 10 1185 8 2 5 1 14

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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 512
Total TN 89494
Total FP 197
Total FP CONTRA 25
Total FP INCONS 95
Total FP COMP 77
Total FN 358
Total Scores
MCC 0.688
Average MCC ± 95% Confidence Intervals 0.685 ± 0.071
Sensitivity 0.589
Positive Predictive Value 0.810
Nr of predictions 33

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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 0.70 0.50 1.00 5 169 0 0 0 0 5
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.63 0.67 0.60 6 1142 13 1 3 9 3
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.88 0.86 0.90 18 1109 3 0 2 1 3
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.89 0.89 0.89 17 1138 4 0 2 2 2
3GX2_A 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3IZF_C 0.88 0.83 0.94 29 2609 5 0 2 3 6
3J20_0 0.65 0.62 0.68 13 1200 6 1 5 0 8
3J20_1 0.69 0.60 0.80 12 1097 4 0 3 1 8
3J2L_3 0.84 0.74 0.96 25 2994 4 0 1 3 9
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_2 1.00 1.00 1.00 31 2723 2 0 0 2 0
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
3ZEX_C 0.42 0.38 0.48 11 5351 16 2 10 4 18
3ZEX_D 0.90 0.86 0.94 30 2764 5 0 2 3 5
4A1C_3 0.72 0.59 0.88 22 2738 4 0 3 1 15
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10
4FRG_B 0.19 0.17 0.25 4 1186 12 1 11 0 20

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