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Table of contents:

  1. Overview

  2. Performance Plots

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

  4. Performance of RNASampler(seed) - scored lower in this pairwise comparison

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


Overview

Metric TurboFold(20) RNASampler(seed)
MCC 0.641 > 0.617
Average MCC ± 95% Confidence Intervals 0.655 ± 0.374 > 0.623 ± 0.279
Sensitivity 0.625 > 0.525
Positive Predictive Value 0.664 < 0.733
Total TP 75 > 63
Total TN 12533 < 12560
Total FP 52 > 37
Total FP CONTRA 10 > 6
Total FP INCONS 28 > 17
Total FP COMP 14 = 14
Total FN 45 < 57
P-value 0.0

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Performance plots


  1. Comparison of performance of TurboFold(20) and RNASampler(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 TurboFold(20) and RNASampler(seed)).

  2. Comparison of performance of TurboFold(20) and RNASampler(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 TurboFold(20) and RNASampler(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(20) and RNASampler(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 TurboFold(20) and RNASampler(seed)).

  4. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(20) and RNASampler(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 TurboFold(20) and RNASampler(seed)).

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Performance of TurboFold(20) - scored higher in this pairwise comparison

1. Total counts & total scores for TurboFold(20)

Total Base Pair Counts
Total TP 75
Total TN 12533
Total FP 52
Total FP CONTRA 10
Total FP INCONS 28
Total FP COMP 14
Total FN 45
Total Scores
MCC 0.641
Average MCC ± 95% Confidence Intervals 0.655 ± 0.374
Sensitivity 0.625
Positive Predictive Value 0.664
Nr of predictions 5

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.71 0.69 0.74 20 1506 7 2 5 0 9
3ZEX_C 0.49 0.45 0.54 13 5350 15 2 9 4 16
4A1C_2 0.22 0.25 0.21 5 4492 28 6 13 9 15

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

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

Total Base Pair Counts
Total TP 63
Total TN 12560
Total FP 37
Total FP CONTRA 6
Total FP INCONS 17
Total FP COMP 14
Total FN 57
Total Scores
MCC 0.617
Average MCC ± 95% Confidence Intervals 0.623 ± 0.279
Sensitivity 0.525
Positive Predictive Value 0.733
Nr of predictions 5

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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
2L94_A 0.70 0.56 0.91 10 346 2 0 1 1 8
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.