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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 PPfold(20) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) PPfold(20)
MCC 0.513 > 0.507
Average MCC ± 95% Confidence Intervals 0.539 ± 0.266 > 0.515 ± 0.285
Sensitivity 0.359 < 0.365
Positive Predictive Value 0.739 > 0.710
Total TP 65 < 66
Total TN 33006 > 33001
Total FP 35 > 33
Total FP CONTRA 1 > 0
Total FP INCONS 22 < 27
Total FP COMP 12 > 6
Total FN 116 > 115
P-value 0.0

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Performance plots


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

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

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

  4. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and PPfold(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 PPfold(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 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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Performance of PPfold(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 66
Total TN 33001
Total FP 33
Total FP CONTRA 0
Total FP INCONS 27
Total FP COMP 6
Total FN 115
Total Scores
MCC 0.507
Average MCC ± 95% Confidence Intervals 0.515 ± 0.285
Sensitivity 0.365
Positive Predictive Value 0.710
Nr of predictions 5

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.63 0.45 0.90 9 980 1 0 1 0 11
3RKF_A 0.73 0.56 0.95 19 2191 1 0 1 0 15
3SD1_A 0.68 0.52 0.88 22 3891 3 0 3 0 20
3ZEX_C 0.33 0.21 0.52 11 14175 12 0 10 2 41
4A1C_2 0.21 0.15 0.29 5 11764 16 0 12 4 28

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