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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(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for RNASLOpt & Murlet(20) [.zip] - may take several seconds...


Overview

Metric RNASLOpt Murlet(20)
MCC 0.635 > 0.625
Average MCC ± 95% Confidence Intervals 0.657 ± 0.163 > 0.598 ± 0.164
Sensitivity 0.616 > 0.548
Positive Predictive Value 0.662 < 0.722
Total TP 172 > 153
Total TN 24147 < 24195
Total FP 121 > 78
Total FP CONTRA 31 > 9
Total FP INCONS 57 > 50
Total FP COMP 33 > 19
Total FN 107 < 126
P-value 0.00207278670317

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Performance plots


  1. Comparison of performance of RNASLOpt and Murlet(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 RNASLOpt and Murlet(20)).

  2. Comparison of performance of RNASLOpt and Murlet(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 RNASLOpt and Murlet(20)).

  3. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for RNASLOpt and Murlet(20)).

  4. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for RNASLOpt and Murlet(20)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt and Murlet(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 RNASLOpt and Murlet(20)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASLOpt and Murlet(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 RNASLOpt and Murlet(20)).

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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 172
Total TN 24147
Total FP 121
Total FP CONTRA 31
Total FP INCONS 57
Total FP COMP 33
Total FN 107
Total Scores
MCC 0.635
Average MCC ± 95% Confidence Intervals 0.657 ± 0.163
Sensitivity 0.616
Positive Predictive Value 0.662
Nr of predictions 11

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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
3J20_0 0.74 0.76 0.73 16 1197 7 3 3 1 5
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.71 0.68 0.74 23 2989 11 0 8 3 11
3ZEX_C 0.32 0.34 0.31 10 5342 36 8 14 14 19
3ZEX_D 0.86 0.74 1.00 26 2770 4 0 0 4 9
4A1C_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
4A1C_3 0.79 0.73 0.87 27 2732 5 0 4 1 10
4AOB_A 0.31 0.28 0.38 8 1416 13 3 10 0 21
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRG_B 0.60 0.58 0.64 14 1180 8 3 5 0 10

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Performance of Murlet(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 153
Total TN 24195
Total FP 78
Total FP CONTRA 9
Total FP INCONS 50
Total FP COMP 19
Total FN 126
Total Scores
MCC 0.625
Average MCC ± 95% Confidence Intervals 0.598 ± 0.164
Sensitivity 0.548
Positive Predictive Value 0.722
Nr of predictions 11

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.65 0.62 0.68 13 1200 6 1 5 0 8
3J20_1 0.69 0.60 0.80 12 1097 4 0 3 1 8
3J2L_3 0.84 0.74 0.96 25 2994 4 0 1 3 9
3ZEX_C 0.42 0.38 0.48 11 5351 16 2 10 4 18
3ZEX_D 0.90 0.86 0.94 30 2764 5 0 2 3 5
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4A1C_3 0.72 0.59 0.88 22 2738 4 0 3 1 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10
4FRG_B 0.19 0.17 0.25 4 1186 12 1 11 0 20

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