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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 IPknot - scored lower in this pairwise comparison

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


Overview

Metric PETfold_pre2.0(seed) IPknot
MCC 0.831 > 0.692
Average MCC ± 95% Confidence Intervals 0.774 ± 0.073 > 0.603 ± 0.147
Sensitivity 0.802 > 0.678
Positive Predictive Value 0.863 > 0.707
Total TP 603 > 510
Total TN 451981 > 451959
Total FP 216 < 311
Total FP CONTRA 35 < 58
Total FP INCONS 61 < 153
Total FP COMP 120 > 100
Total FN 149 < 242
P-value 3.42071836373e-08

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Performance plots


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

  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 IPknot).

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

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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 603
Total TN 451981
Total FP 216
Total FP CONTRA 35
Total FP INCONS 61
Total FP COMP 120
Total FN 149
Total Scores
MCC 0.831
Average MCC ± 95% Confidence Intervals 0.774 ± 0.073
Sensitivity 0.802
Positive Predictive Value 0.863
Nr of predictions 16

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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_2 0.86 0.86 0.86 356 421956 129 18 38 73 56
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 IPknot - scored lower in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 510
Total TN 451959
Total FP 311
Total FP CONTRA 58
Total FP INCONS 153
Total FP COMP 100
Total FN 242
Total Scores
MCC 0.692
Average MCC ± 95% Confidence Intervals 0.603 ± 0.147
Sensitivity 0.678
Positive Predictive Value 0.707
Nr of predictions 16

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2. Individual counts for IPknot [ 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 1 4 0 12
3J20_2 0.75 0.74 0.76 305 421966 159 17 80 62 107
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J3D_C 0.52 0.53 0.53 10 949 9 3 6 0 9
3J3E_8 -0.01 0.00 0.00 0 2723 25 5 14 6 15
3J3F_8 0.36 0.47 0.28 9 4729 40 11 12 17 10
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.94 0.91 0.97 30 1958 2 0 1 1 3
3ZEX_C 0.51 0.34 0.77 10 5361 7 1 2 4 19
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.59 0.53 0.67 8 484 4 0 4 0 7
4FRG_B 0.75 0.71 0.81 17 1181 4 3 1 0 7
4FRN_A 0.79 0.71 0.87 20 1825 3 1 2 0 8
4JF2_A 0.96 0.96 0.96 23 1058 1 1 0 0 1

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