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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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric PETfold_pre2.0(20) RSpredict(seed)
MCC 0.718 > 0.471
Average MCC ± 95% Confidence Intervals 0.637 ± 0.179 > 0.184 ± 0.149
Sensitivity 0.682 > 0.321
Positive Predictive Value 0.758 > 0.694
Total TP 304 > 143
Total TN 183468 < 183663
Total FP 163 > 90
Total FP CONTRA 26 > 17
Total FP INCONS 71 > 46
Total FP COMP 66 > 27
Total FN 142 < 303
P-value 1.50834591464e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(20) and RSpredict(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 PETfold_pre2.0(20) and RSpredict(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 PETfold_pre2.0(20) and RSpredict(seed)).

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

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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 304
Total TN 183468
Total FP 163
Total FP CONTRA 26
Total FP INCONS 71
Total FP COMP 66
Total FN 142
Total Scores
MCC 0.718
Average MCC ± 95% Confidence Intervals 0.637 ± 0.179
Sensitivity 0.682
Positive Predictive Value 0.758
Nr of predictions 11

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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
3J2C_N 0.80 0.75 0.85 181 160469 69 12 20 37 59
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
3J3F_8 0.34 0.37 0.32 7 4739 24 5 10 9 12
3ZEX_C 0.26 0.24 0.29 7 5350 20 1 16 3 22
4A1C_2 0.25 0.25 0.25 5 4496 25 2 13 10 15
4AOB_A 0.87 0.83 0.92 24 1411 4 0 2 2 5
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 RSpredict(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 143
Total TN 183663
Total FP 90
Total FP CONTRA 17
Total FP INCONS 46
Total FP COMP 27
Total FN 303
Total Scores
MCC 0.471
Average MCC ± 95% Confidence Intervals 0.184 ± 0.149
Sensitivity 0.321
Positive Predictive Value 0.694
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J2C_N 0.65 0.53 0.79 127 160521 59 9 25 25 113
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12
4FRG_B -0.01 0.00 0.00 0 1200 2 0 2 0 24

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