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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 PknotsRG - scored lower in this pairwise comparison

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


Overview

Metric PETfold_pre2.0(seed) PknotsRG
MCC 0.789 > 0.569
Average MCC ± 95% Confidence Intervals 0.768 ± 0.077 > 0.590 ± 0.151
Sensitivity 0.726 > 0.615
Positive Predictive Value 0.861 > 0.536
Total TP 247 > 209
Total TN 30025 > 29922
Total FP 87 < 238
Total FP CONTRA 17 < 60
Total FP INCONS 23 < 121
Total FP COMP 47 < 57
Total FN 93 < 131
P-value 1.25253056981e-08

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Performance plots


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

  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 PknotsRG).

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

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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 PknotsRG - scored lower in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 209
Total TN 29922
Total FP 238
Total FP CONTRA 60
Total FP INCONS 121
Total FP COMP 57
Total FN 131
Total Scores
MCC 0.569
Average MCC ± 95% Confidence Intervals 0.590 ± 0.151
Sensitivity 0.615
Positive Predictive Value 0.536
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.66 0.61 0.73 11 513 4 2 2 0 7
3J20_0 0.51 0.57 0.48 12 1194 14 3 10 1 9
3J3D_C 0.63 0.68 0.59 13 946 9 3 6 0 6
3J3E_8 0.26 0.33 0.21 5 2718 30 6 13 11 10
3J3F_8 0.32 0.42 0.24 8 4728 40 12 13 15 11
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.64 0.64 0.66 21 1957 12 4 7 1 12
3ZEX_C 0.30 0.34 0.26 10 5336 44 5 23 16 19
4A1C_2 0.18 0.25 0.14 5 4480 43 11 20 12 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 0.88 0.92 0.85 22 1056 4 4 0 0 2

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