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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(seed) PETfold_pre2.0(20)
MCC 0.367 > 0.316
Average MCC ± 95% Confidence Intervals 0.361 ± 0.197 > 0.332 ± 0.170
Sensitivity 0.349 > 0.313
Positive Predictive Value 0.392 > 0.325
Total TP 29 > 26
Total TN 17319 > 17313
Total FP 74 < 80
Total FP CONTRA 16 > 10
Total FP INCONS 29 < 44
Total FP COMP 29 > 26
Total FN 54 < 57
P-value 0.0

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Performance plots


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

  2. Comparison of performance of RNASampler(seed) and PETfold_pre2.0(20). 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 RNASampler(seed) and PETfold_pre2.0(20)).

  3. 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 RNASampler(seed) and PETfold_pre2.0(20)).

  4. 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 RNASampler(seed) and PETfold_pre2.0(20)).

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

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

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Performance of RNASampler(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 29
Total TN 17319
Total FP 74
Total FP CONTRA 16
Total FP INCONS 29
Total FP COMP 29
Total FN 54
Total Scores
MCC 0.367
Average MCC ± 95% Confidence Intervals 0.361 ± 0.197
Sensitivity 0.349
Positive Predictive Value 0.392
Nr of predictions 4

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J3E_8 0.18 0.20 0.18 3 2725 22 5 9 8 12
3J3F_8 0.47 0.47 0.47 9 4742 18 5 5 8 10
3ZEX_C 0.39 0.31 0.50 9 5356 14 2 7 5 20
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12

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

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

Total Base Pair Counts
Total TP 26
Total TN 17313
Total FP 80
Total FP CONTRA 10
Total FP INCONS 44
Total FP COMP 26
Total FN 57
Total Scores
MCC 0.316
Average MCC ± 95% Confidence Intervals 0.332 ± 0.170
Sensitivity 0.313
Positive Predictive Value 0.325
Nr of predictions 4

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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
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

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