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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of PETfold_pre2.0(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for PETfold_pre2.0(20) & MCFold [.zip] - may take several seconds...


Overview

Metric PETfold_pre2.0(20) MCFold
MCC 0.767 > 0.483
Average MCC ± 95% Confidence Intervals 0.718 ± 0.150 > 0.463 ± 0.150
Sensitivity 0.751 > 0.543
Positive Predictive Value 0.788 > 0.439
Total TP 271 > 196
Total TN 36851 > 36749
Total FP 129 < 331
Total FP CONTRA 14 < 74
Total FP INCONS 59 < 176
Total FP COMP 56 < 81
Total FN 90 < 165
P-value 2.69132796717e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(20) and MCFold. 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(20) and MCFold).

  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(20) and MCFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_pre2.0(20) and MCFold. 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(20) and MCFold).

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Performance of PETfold_pre2.0(20) - scored higher in this pairwise comparison

1. Total counts & total scores for PETfold_pre2.0(20)

Total Base Pair Counts
Total TP 271
Total TN 36851
Total FP 129
Total FP CONTRA 14
Total FP INCONS 59
Total FP COMP 56
Total FN 90
Total Scores
MCC 0.767
Average MCC ± 95% Confidence Intervals 0.718 ± 0.150
Sensitivity 0.751
Positive Predictive Value 0.788
Nr of predictions 15

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2. Individual counts for PETfold_pre2.0(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.95 0.95 0.95 20 1198 1 1 0 0 1
3J2L_3 0.97 0.94 1.00 32 2988 4 0 0 4 2
3J3D_C 0.87 0.89 0.85 17 948 3 3 0 0 2
3J3E_8 0.48 0.47 0.50 7 2728 11 2 5 4 8
3J3E_7 0.94 0.94 0.94 32 2707 7 0 2 5 2
3J3F_8 0.34 0.37 0.32 7 4739 24 5 10 9 12
3J3F_7 0.93 0.92 0.94 33 2899 6 0 2 4 3
3ZEX_D 0.93 0.91 0.94 32 2762 6 0 2 4 3
3ZEX_C 0.26 0.24 0.29 7 5350 20 1 16 3 22
3ZND_W 0.67 0.75 0.60 6 1181 15 0 4 11 2
4A1C_3 1.00 1.00 1.00 37 2726 1 0 0 1 0
4A1C_2 0.25 0.25 0.25 5 4496 25 2 13 10 15
4ENB_A 0.68 0.53 0.89 8 463 1 0 1 0 7
4ENC_A 0.61 0.53 0.73 8 485 3 0 3 0 7
4FRG_B 0.89 0.83 0.95 20 1181 2 0 1 1 4

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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 196
Total TN 36749
Total FP 331
Total FP CONTRA 74
Total FP INCONS 176
Total FP COMP 81
Total FN 165
Total Scores
MCC 0.483
Average MCC ± 95% Confidence Intervals 0.463 ± 0.150
Sensitivity 0.543
Positive Predictive Value 0.439
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.66 0.71 0.63 15 1195 11 3 6 2 6
3J2L_3 0.77 0.79 0.75 27 2984 15 1 8 6 7
3J3D_C 0.54 0.63 0.48 12 943 13 4 9 0 7
3J3E_8 0.15 0.20 0.12 3 2716 36 11 12 13 12
3J3E_7 0.55 0.56 0.54 19 2706 23 1 15 7 15
3J3F_8 0.14 0.21 0.10 4 4720 51 17 20 14 15
3J3F_7 0.88 0.89 0.86 32 2897 9 1 4 4 4
3ZEX_D 0.23 0.26 0.23 9 2756 33 6 25 2 26
3ZEX_C 0.30 0.34 0.27 10 5337 28 6 21 1 19
3ZND_W 0.23 0.38 0.15 3 1171 26 9 8 9 5
4A1C_3 0.86 0.86 0.86 32 2726 9 0 5 4 5
4A1C_2 0.18 0.25 0.14 5 4480 45 12 19 14 15
4ENB_A 0.78 0.73 0.85 11 459 4 0 2 2 4
4ENC_A 0.34 0.33 0.38 5 483 11 0 8 3 10
4FRG_B 0.35 0.38 0.35 9 1176 17 3 14 0 15

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