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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidAlifold(20) Murlet(seed)
MCC 0.650 > 0.490
Average MCC ± 95% Confidence Intervals 0.622 ± 0.086 > 0.492 ± 0.051
Sensitivity 0.470 > 0.269
Positive Predictive Value 0.904 > 0.899
Total TP 264 > 151
Total TN 89041 < 89165
Total FP 46 > 23
Total FP CONTRA 3 < 5
Total FP INCONS 25 > 12
Total FP COMP 18 > 6
Total FN 298 < 411
P-value 2.52609899389e-08

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Performance plots


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

  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 CentroidAlifold(20) and Murlet(seed)).

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

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

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

Total Base Pair Counts
Total TP 264
Total TN 89041
Total FP 46
Total FP CONTRA 3
Total FP INCONS 25
Total FP COMP 18
Total FN 298
Total Scores
MCC 0.650
Average MCC ± 95% Confidence Intervals 0.622 ± 0.086
Sensitivity 0.470
Positive Predictive Value 0.904
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.61 0.55 0.69 11 974 5 0 5 0 9
2XKV_B 0.46 0.25 0.83 5 4554 6 0 1 5 15
2XXA_G 0.44 0.19 1.00 8 5143 3 0 0 3 34
3GX2_A 0.77 0.60 1.00 24 4347 1 0 0 1 16
3IVN_B 0.78 0.65 0.95 20 2325 1 1 0 0 11
3JYX_4 0.39 0.27 0.56 9 12230 9 0 7 2 24
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.70 0.54 0.89 25 6993 5 1 2 2 21
3O58_3 0.54 0.31 0.92 11 12391 1 0 1 0 24
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
4A1C_2 0.26 0.15 0.45 5 11770 8 1 5 2 28
4AOB_A 0.75 0.57 1.00 24 4347 1 0 0 1 18
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.60 0.37 1.00 7 1319 0 0 0 0 12

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

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

Total Base Pair Counts
Total TP 151
Total TN 89165
Total FP 23
Total FP CONTRA 5
Total FP INCONS 12
Total FP COMP 6
Total FN 411
Total Scores
MCC 0.490
Average MCC ± 95% Confidence Intervals 0.492 ± 0.051
Sensitivity 0.269
Positive Predictive Value 0.899
Nr of predictions 16

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