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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

  4. Performance of HotKnots - scored lower in this pairwise comparison

  5. Compile and download dataset for PETfold_pre2.0(seed) & HotKnots [.zip] - may take several seconds...


Overview

Metric PETfold_pre2.0(seed) HotKnots
MCC 0.789 > 0.517
Average MCC ± 95% Confidence Intervals 0.768 ± 0.077 > 0.545 ± 0.178
Sensitivity 0.726 > 0.565
Positive Predictive Value 0.861 > 0.485
Total TP 247 > 192
Total TN 30025 > 29916
Total FP 87 < 252
Total FP CONTRA 17 < 65
Total FP INCONS 23 < 139
Total FP COMP 47 < 48
Total FN 93 < 148
P-value 1.34193807955e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(seed) and HotKnots. 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 PETfold_pre2.0(seed) and HotKnots).

  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 PETfold_pre2.0(seed) and HotKnots).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_pre2.0(seed) and HotKnots. 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 PETfold_pre2.0(seed) and HotKnots).

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Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for PETfold_pre2.0(seed)

Total Base Pair Counts
Total TP 247
Total TN 30025
Total FP 87
Total FP CONTRA 17
Total FP INCONS 23
Total FP COMP 47
Total FN 93
Total Scores
MCC 0.789
Average MCC ± 95% Confidence Intervals 0.768 ± 0.077
Sensitivity 0.726
Positive Predictive Value 0.861
Nr of predictions 15

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2. Individual counts for PETfold_pre2.0(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.41 0.33 0.55 6 517 5 0 5 0 12
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J3D_C 0.90 0.95 0.86 18 947 4 3 0 1 1
3J3E_8 0.71 0.67 0.77 10 2729 8 1 2 5 5
3J3F_8 0.86 0.84 0.89 16 4743 13 2 0 11 3
3W1K_J 0.85 0.81 0.89 25 1650 4 2 1 1 6
3W3S_B 0.80 0.73 0.89 24 1962 6 1 2 3 9
3ZEX_C 0.70 0.59 0.85 17 5354 12 1 2 9 12
4A1C_2 0.79 0.75 0.83 15 4498 12 1 2 9 5
4AOB_A 0.85 0.79 0.92 23 1412 4 0 2 2 6
4ENB_A 0.61 0.53 0.73 8 461 5 1 2 2 7
4ENC_A 0.61 0.53 0.73 8 485 5 1 2 2 7
4FRG_B 0.87 0.83 0.91 20 1180 3 0 2 1 4
4FRN_A 0.83 0.79 0.88 22 1823 3 2 1 0 6
4JF2_A 0.76 0.63 0.94 15 1066 1 1 0 0 9

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Performance of HotKnots - scored lower in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 192
Total TN 29916
Total FP 252
Total FP CONTRA 65
Total FP INCONS 139
Total FP COMP 48
Total FN 148
Total Scores
MCC 0.517
Average MCC ± 95% Confidence Intervals 0.545 ± 0.178
Sensitivity 0.565
Positive Predictive Value 0.485
Nr of predictions 15

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2. Individual counts for HotKnots [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 0 7
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J3D_C 0.33 0.37 0.32 7 946 15 3 12 0 12
3J3E_8 0.15 0.20 0.12 3 2717 33 7 15 11 12
3J3F_8 0.33 0.42 0.26 8 4730 43 11 12 20 11
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.60 0.61 0.61 20 1956 14 4 9 1 13
3ZEX_C -0.01 0.00 0.00 0 5328 46 11 35 0 29
4A1C_2 0.19 0.25 0.15 5 4483 42 12 16 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15
4FRN_A 0.59 0.57 0.62 16 1822 10 2 8 0 12
4JF2_A 0.92 1.00 0.86 24 1054 4 4 0 0 0

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