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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 TurboFold(seed) - scored lower in this pairwise comparison

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


Overview

Metric CentroidAlifold(seed) TurboFold(seed)
MCC 0.713 > 0.653
Average MCC ± 95% Confidence Intervals 0.657 ± 0.131 > 0.639 ± 0.168
Sensitivity 0.558 < 0.641
Positive Predictive Value 0.916 > 0.674
Total TP 196 < 225
Total TN 30239 > 30119
Total FP 27 < 156
Total FP CONTRA 8 < 36
Total FP INCONS 10 < 73
Total FP COMP 9 < 47
Total FN 155 > 126
P-value 2.48055519165e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(seed) and TurboFold(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(seed) and TurboFold(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(seed) and TurboFold(seed)).

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

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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 196
Total TN 30239
Total FP 27
Total FP CONTRA 8
Total FP INCONS 10
Total FP COMP 9
Total FN 155
Total Scores
MCC 0.713
Average MCC ± 95% Confidence Intervals 0.657 ± 0.131
Sensitivity 0.558
Positive Predictive Value 0.916
Nr of predictions 15

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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 0.51 0.50 0.56 9 341 8 0 7 1 9
2LC8_A 0.00 0.00 0.00 0 528 0 0 0 0 18
3J3E_8 0.39 0.20 0.75 3 2738 1 1 0 0 12
3J3F_8 0.62 0.47 0.82 9 4750 4 2 0 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
3W1K_J 0.86 0.81 0.93 25 1651 2 1 1 0 6
3ZEX_C 0.56 0.34 0.91 10 5363 3 1 0 2 19
4A1C_3 0.66 0.43 1.00 16 2747 0 0 0 0 21
4A1C_2 0.60 0.40 0.89 8 4507 3 1 0 2 12
4AOB_A 0.89 0.79 1.00 23 1414 2 0 0 2 6
4ENB_A 0.72 0.53 1.00 8 464 0 0 0 0 7
4ENC_A 0.73 0.53 1.00 8 488 0 0 0 0 7
4FRN_A 0.80 0.71 0.91 20 1826 2 1 1 0 8
4JF2_A 0.76 0.63 0.94 15 1066 1 1 0 0 9

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

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

Total Base Pair Counts
Total TP 225
Total TN 30119
Total FP 156
Total FP CONTRA 36
Total FP INCONS 73
Total FP COMP 47
Total FN 126
Total Scores
MCC 0.653
Average MCC ± 95% Confidence Intervals 0.639 ± 0.168
Sensitivity 0.641
Positive Predictive Value 0.674
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
3J3E_8 0.27 0.33 0.23 5 2720 28 6 11 11 10
3J3F_8 0.42 0.53 0.34 10 4732 35 9 10 16 9
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.71 0.69 0.74 20 1506 7 2 5 0 9
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3ZEX_C 0.49 0.45 0.54 13 5350 15 2 9 4 16
4A1C_3 0.86 0.84 0.89 31 2728 6 0 4 2 6
4A1C_2 0.20 0.25 0.17 5 4486 37 9 16 12 15
4AOB_A 0.67 0.59 0.77 17 1415 6 2 3 1 12
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRN_A 0.79 0.71 0.87 20 1825 3 1 2 0 8
4JF2_A 0.89 0.79 1.00 19 1063 0 0 0 0 5

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