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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 0.491 > 0.468
Average MCC ± 95% Confidence Intervals 0.494 ± 0.047 > 0.462 ± 0.137
Sensitivity 0.269 < 0.347
Positive Predictive Value 0.901 > 0.638
Total TP 154 < 199
Total TN 89568 > 89427
Total FP 23 < 133
Total FP CONTRA 5 < 25
Total FP INCONS 12 < 88
Total FP COMP 6 < 20
Total FN 419 > 374
P-value 2.44854136456e-07

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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 154
Total TN 89568
Total FP 23
Total FP CONTRA 5
Total FP INCONS 12
Total FP COMP 6
Total FN 419
Total Scores
MCC 0.491
Average MCC ± 95% Confidence Intervals 0.494 ± 0.047
Sensitivity 0.269
Positive Predictive Value 0.901
Nr of predictions 17

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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
2L94_A 0.59 0.40 0.89 8 981 1 0 1 0 12
2XKV_B 0.45 0.20 1.00 4 4556 2 0 0 2 16
2XXA_G 0.38 0.14 1.00 6 5145 0 0 0 0 36
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
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
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

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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 199
Total TN 89427
Total FP 133
Total FP CONTRA 25
Total FP INCONS 88
Total FP COMP 20
Total FN 374
Total Scores
MCC 0.468
Average MCC ± 95% Confidence Intervals 0.462 ± 0.137
Sensitivity 0.347
Positive Predictive Value 0.638
Nr of predictions 17

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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
2L94_A 0.55 0.50 0.63 10 974 6 0 6 0 10
2XKV_B 0.00 0.00 0.00 0 4556 4 0 4 0 20
2XXA_G 0.46 0.21 1.00 9 5142 0 0 0 0 33
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
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
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

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