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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 0.618 > 0.453
Average MCC ± 95% Confidence Intervals 0.583 ± 0.116 > 0.451 ± 0.068
Sensitivity 0.438 > 0.240
Positive Predictive Value 0.877 > 0.859
Total TP 277 > 152
Total TN 115747 < 115886
Total FP 49 > 31
Total FP CONTRA 6 > 5
Total FP INCONS 33 > 20
Total FP COMP 10 > 6
Total FN 356 < 481
P-value 2.61939086268e-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 277
Total TN 115747
Total FP 49
Total FP CONTRA 6
Total FP INCONS 33
Total FP COMP 10
Total FN 356
Total Scores
MCC 0.618
Average MCC ± 95% Confidence Intervals 0.583 ± 0.116
Sensitivity 0.438
Positive Predictive Value 0.877
Nr of predictions 17

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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
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
3J3E_8 0.00 0.00 0.00 0 7499 4 0 4 0 33
3J3F_8 0.39 0.25 0.60 9 12231 6 1 5 0 27
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
3ZEX_C 0.38 0.21 0.69 11 14180 5 1 4 0 41
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
4FRG_B 0.69 0.53 0.89 17 3467 2 1 1 0 15

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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 152
Total TN 115886
Total FP 31
Total FP CONTRA 5
Total FP INCONS 20
Total FP COMP 6
Total FN 481
Total Scores
MCC 0.453
Average MCC ± 95% Confidence Intervals 0.451 ± 0.068
Sensitivity 0.240
Positive Predictive Value 0.859
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
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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.