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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(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) PPfold(seed)
MCC 0.447 > 0.160
Average MCC ± 95% Confidence Intervals 0.421 ± 0.287 > 0.124 ± 0.195
Sensitivity 0.299 > 0.050
Positive Predictive Value 0.673 > 0.524
Total TP 66 > 11
Total TN 38299 < 38376
Total FP 45 < 47
Total FP CONTRA 1 > 0
Total FP INCONS 31 > 10
Total FP COMP 13 < 37
Total FN 155 < 210
P-value 0.0

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Performance plots


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

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

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

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

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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 66
Total TN 38299
Total FP 45
Total FP CONTRA 1
Total FP INCONS 31
Total FP COMP 13
Total FN 155
Total Scores
MCC 0.447
Average MCC ± 95% Confidence Intervals 0.421 ± 0.287
Sensitivity 0.299
Positive Predictive Value 0.673
Nr of predictions 6

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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
2LC8_A -0.01 0.00 0.00 0 1530 10 0 10 0 20
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
3W3S_B 0.55 0.30 1.00 12 4741 1 0 0 1 28
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(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 11
Total TN 38376
Total FP 47
Total FP CONTRA 0
Total FP INCONS 10
Total FP COMP 37
Total FN 210
Total Scores
MCC 0.160
Average MCC ± 95% Confidence Intervals 0.124 ± 0.195
Sensitivity 0.050
Positive Predictive Value 0.524
Nr of predictions 6

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.47 0.30 0.75 6 1532 2 0 2 0 14
3RKF_A 0.00 0.00 0.00 0 2211 0 0 0 0 34
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3W3S_B 0.00 0.00 0.00 0 4753 0 0 0 0 40
3ZEX_C 0.20 0.08 0.50 4 14188 22 0 4 18 48
4A1C_2 0.08 0.03 0.20 1 11776 23 0 4 19 32

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