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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidAlifold(seed) Murlet(20)
MCC 0.629 > 0.581
Average MCC ± 95% Confidence Intervals 0.603 ± 0.057 > 0.583 ± 0.069
Sensitivity 0.430 > 0.425
Positive Predictive Value 0.923 > 0.798
Total TP 429 > 424
Total TN 201854 > 201788
Total FP 64 < 138
Total FP CONTRA 4 < 13
Total FP INCONS 32 < 94
Total FP COMP 28 < 31
Total FN 569 < 574
P-value 5.23657817852e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 429
Total TN 201854
Total FP 64
Total FP CONTRA 4
Total FP INCONS 32
Total FP COMP 28
Total FN 569
Total Scores
MCC 0.629
Average MCC ± 95% Confidence Intervals 0.603 ± 0.057
Sensitivity 0.430
Positive Predictive Value 0.923
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.24 0.12 0.50 2 2846 4 0 2 2 15
2XKV_B 0.53 0.50 0.56 10 4542 20 0 8 12 10
2XQD_Y 0.47 0.22 1.00 6 2844 0 0 0 0 21
2XXA_G 0.77 0.64 0.93 27 5122 3 0 2 1 15
3A2K_C 0.46 0.21 1.00 6 2920 0 0 0 0 22
3AMU_B 0.47 0.22 1.00 6 2997 0 0 0 0 21
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
3IZ4_A 0.58 0.39 0.88 51 70818 7 2 5 0 81
3IZF_C 0.54 0.30 1.00 16 6887 0 0 0 0 38
3JYV_7 0.43 0.19 1.00 6 2844 0 0 0 0 26
3JYX_3 0.59 0.41 0.85 11 6315 5 0 2 3 16
3JYX_4 0.52 0.30 0.91 10 12235 3 0 1 2 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.71 0.54 0.93 25 6994 4 1 1 2 21
3O58_2 0.65 0.42 1.00 16 7244 0 0 0 0 22
3O58_3 0.56 0.34 0.92 12 12390 1 0 1 0 23
3PDR_A 0.77 0.61 0.98 44 12835 3 0 1 2 28
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
4A1C_2 0.46 0.24 0.89 8 11772 3 0 1 2 25
4A1C_3 0.54 0.30 1.00 16 7124 0 0 0 0 38
4AOB_A 0.75 0.57 1.00 24 4347 1 0 0 1 18
4ENB_A 0.65 0.42 1.00 8 1267 0 0 0 0 11
4ENC_A 0.65 0.42 1.00 8 1318 0 0 0 0 11

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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 424
Total TN 201788
Total FP 138
Total FP CONTRA 13
Total FP INCONS 94
Total FP COMP 31
Total FN 574
Total Scores
MCC 0.581
Average MCC ± 95% Confidence Intervals 0.583 ± 0.069
Sensitivity 0.425
Positive Predictive Value 0.798
Nr of predictions 26

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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
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
2XXA_G 0.41 0.17 1.00 7 5144 0 0 0 0 35
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
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
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3JYX_3 0.60 0.52 0.70 14 6308 11 0 6 5 13
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
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
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

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