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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 0.490 > 0.470
Average MCC ± 95% Confidence Intervals 0.522 ± 0.201 > 0.474 ± 0.190
Sensitivity 0.474 > 0.313
Positive Predictive Value 0.518 < 0.717
Total TP 100 > 66
Total TN 17669 < 17770
Total FP 117 > 27
Total FP CONTRA 34 > 1
Total FP INCONS 59 > 25
Total FP COMP 24 > 1
Total FN 111 < 145
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 100
Total TN 17669
Total FP 117
Total FP CONTRA 34
Total FP INCONS 59
Total FP COMP 24
Total FN 111
Total Scores
MCC 0.490
Average MCC ± 95% Confidence Intervals 0.522 ± 0.201
Sensitivity 0.474
Positive Predictive Value 0.518
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 0.48 0.39 0.64 7 517 4 0 4 0 11
3W3S_B 0.90 0.85 0.97 28 1960 2 0 1 1 5
3ZEX_C 0.32 0.34 0.31 10 5342 36 8 14 14 19
4A1C_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
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
4FRN_A 0.19 0.18 0.22 5 1825 18 6 12 0 23

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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 17770
Total FP 27
Total FP CONTRA 1
Total FP INCONS 25
Total FP COMP 1
Total FN 145
Total Scores
MCC 0.470
Average MCC ± 95% Confidence Intervals 0.474 ± 0.190
Sensitivity 0.313
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 -0.03 0.00 0.00 0 516 12 0 12 0 18
3W3S_B 0.45 0.27 0.75 9 1977 3 0 3 0 24
3ZEX_C 0.49 0.24 1.00 7 5367 0 0 0 0 22
4A1C_2 0.59 0.35 1.00 7 4509 0 0 0 0 13
4AOB_A 0.69 0.48 1.00 14 1423 1 0 0 1 15
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.17 0.13 0.25 3 1190 9 0 9 0 21
4FRN_A 0.66 0.50 0.88 14 1832 2 1 1 0 14

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