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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 0.532 > 0.513
Average MCC ± 95% Confidence Intervals 0.568 ± 0.368 > 0.539 ± 0.266
Sensitivity 0.425 > 0.359
Positive Predictive Value 0.670 < 0.739
Total TP 77 > 65
Total TN 32979 < 33006
Total FP 50 > 35
Total FP CONTRA 3 > 1
Total FP INCONS 35 > 22
Total FP COMP 12 = 12
Total FN 104 < 116
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 77
Total TN 32979
Total FP 50
Total FP CONTRA 3
Total FP INCONS 35
Total FP COMP 12
Total FN 104
Total Scores
MCC 0.532
Average MCC ± 95% Confidence Intervals 0.568 ± 0.368
Sensitivity 0.425
Positive Predictive Value 0.670
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 0.92 0.90 0.95 18 971 1 0 1 0 2
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.59 0.48 0.74 20 3889 7 1 6 0 22
3ZEX_C 0.39 0.27 0.56 14 14171 14 2 9 3 38
4A1C_2 0.18 0.15 0.21 5 11757 28 0 19 9 28

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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 65
Total TN 33006
Total FP 35
Total FP CONTRA 1
Total FP INCONS 22
Total FP COMP 12
Total FN 116
Total Scores
MCC 0.513
Average MCC ± 95% Confidence Intervals 0.539 ± 0.266
Sensitivity 0.359
Positive Predictive Value 0.739
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 0.71 0.55 0.92 11 978 1 0 1 0 9
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
3ZEX_C 0.32 0.19 0.53 10 14177 13 1 8 4 42
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25

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