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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Murlet(seed) RSpredict(20)
MCC 0.454 > 0.420
Average MCC ± 95% Confidence Intervals 0.455 ± 0.064 > 0.426 ± 0.134
Sensitivity 0.241 < 0.318
Positive Predictive Value 0.861 > 0.562
Total TP 155 < 205
Total TN 116289 > 116104
Total FP 31 < 189
Total FP CONTRA 5 < 33
Total FP INCONS 20 < 127
Total FP COMP 6 < 29
Total FN 489 > 439
P-value 2.89169006118e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 155
Total TN 116289
Total FP 31
Total FP CONTRA 5
Total FP INCONS 20
Total FP COMP 6
Total FN 489
Total Scores
MCC 0.454
Average MCC ± 95% Confidence Intervals 0.455 ± 0.064
Sensitivity 0.241
Positive Predictive Value 0.861
Nr of predictions 18

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3J3E_8 0.25 0.06 1.00 2 7501 2 0 0 2 31
3J3F_8 0.44 0.19 1.00 7 12239 0 0 0 0 29
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3NPB_A 0.49 0.28 0.87 13 7006 2 1 1 0 33
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
3ZEX_C 0.37 0.13 1.00 7 14189 0 0 0 0 45
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.15 0.09 0.25 3 3474 9 0 9 0 29

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

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

Total Base Pair Counts
Total TP 205
Total TN 116104
Total FP 189
Total FP CONTRA 33
Total FP INCONS 127
Total FP COMP 29
Total FN 439
Total Scores
MCC 0.420
Average MCC ± 95% Confidence Intervals 0.426 ± 0.134
Sensitivity 0.318
Positive Predictive Value 0.562
Nr of predictions 18

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
3GX2_A 0.33 0.15 0.75 6 4363 2 0 2 0 34
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3J3E_8 0.00 0.00 0.00 0 7484 19 4 15 0 33
3J3F_8 0.39 0.33 0.46 12 12220 23 2 12 9 24
3JYX_4 0.28 0.27 0.30 9 12216 33 5 16 12 24
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.00 0.00 0.00 0 7015 6 1 5 0 46
3O58_3 0.32 0.34 0.30 12 12363 28 12 16 0 23
3PDR_A 0.67 0.49 0.92 35 12842 5 0 3 2 37
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.68 0.60 0.78 25 3884 7 1 6 0 17
3ZEX_C 0.26 0.19 0.36 10 14168 18 2 16 0 42
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
4AOB_A 0.28 0.14 0.55 6 4360 5 0 5 0 36
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.45 0.32 0.67 6 1317 3 0 3 0 13
4FRG_B 0.17 0.09 0.33 3 3477 6 0 6 0 29

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