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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNASLOpt - scored higher in this pairwise comparison

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

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


Overview

Metric RNASLOpt Murlet(seed)
MCC 0.426 > 0.400
Average MCC ± 95% Confidence Intervals 0.469 ± 0.185 > 0.405 ± 0.161
Sensitivity 0.352 > 0.225
Positive Predictive Value 0.523 < 0.717
Total TP 103 > 66
Total TN 47682 < 47787
Total FP 114 > 27
Total FP CONTRA 16 > 1
Total FP INCONS 78 > 25
Total FP COMP 20 > 1
Total FN 190 < 227
P-value 0.0

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Performance plots


  1. Comparison of performance of RNASLOpt and Murlet(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 RNASLOpt and Murlet(seed)).

  2. Comparison of performance of RNASLOpt and Murlet(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 RNASLOpt and Murlet(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt and Murlet(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 RNASLOpt and Murlet(seed)).

  4. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt and Murlet(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 RNASLOpt and Murlet(seed)).

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Performance of RNASLOpt - scored higher in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 103
Total TN 47682
Total FP 114
Total FP CONTRA 16
Total FP INCONS 78
Total FP COMP 20
Total FN 190
Total Scores
MCC 0.426
Average MCC ± 95% Confidence Intervals 0.469 ± 0.185
Sensitivity 0.352
Positive Predictive Value 0.523
Nr of predictions 9

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2. Individual counts for RNASLOpt [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.47 0.35 0.64 7 1529 4 0 4 0 13
3W3S_B 0.82 0.70 0.97 28 4724 2 0 1 1 12
3ZEX_C 0.26 0.21 0.33 11 14163 35 2 20 13 41
4A1C_2 0.23 0.24 0.22 8 11744 35 8 21 6 25
4AOB_A 0.26 0.19 0.38 8 4350 13 2 11 0 34
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17
4FRN_A 0.20 0.17 0.26 6 5128 17 2 15 0 30

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

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

Total Base Pair Counts
Total TP 66
Total TN 47787
Total FP 27
Total FP CONTRA 1
Total FP INCONS 25
Total FP COMP 1
Total FN 227
Total Scores
MCC 0.400
Average MCC ± 95% Confidence Intervals 0.405 ± 0.161
Sensitivity 0.225
Positive Predictive Value 0.717
Nr of predictions 9

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2. Individual counts for Murlet(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 1528 12 0 12 0 20
3W3S_B 0.41 0.23 0.75 9 4741 3 0 3 0 31
3ZEX_C 0.37 0.13 1.00 7 14189 0 0 0 0 45
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.15 0.09 0.25 3 3474 9 0 9 0 29
4FRN_A 0.58 0.39 0.88 14 5135 2 1 1 0 22

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