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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric Murlet(seed) RSpredict(seed)
MCC 0.534 > 0.339
Average MCC ± 95% Confidence Intervals 0.529 ± 0.077 > 0.276 ± 0.132
Sensitivity 0.349 > 0.194
Positive Predictive Value 0.828 > 0.608
Total TP 198 > 110
Total TN 46973 < 47031
Total FP 50 < 74
Total FP CONTRA 6 < 10
Total FP INCONS 35 < 61
Total FP COMP 9 > 3
Total FN 370 < 458
P-value 5.1503931209e-08

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Performance plots


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

  2. 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 Murlet(seed) and RSpredict(seed)).

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

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

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

Total Base Pair Counts
Total TP 198
Total TN 46973
Total FP 50
Total FP CONTRA 6
Total FP INCONS 35
Total FP COMP 9
Total FN 370
Total Scores
MCC 0.534
Average MCC ± 95% Confidence Intervals 0.529 ± 0.077
Sensitivity 0.349
Positive Predictive Value 0.828
Nr of predictions 22

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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
3A3A_A 0.63 0.40 1.00 12 1488 0 0 0 0 18
3GX2_A 0.70 0.50 1.00 14 1435 1 0 0 1 14
3IVN_B 0.62 0.52 0.75 12 887 4 2 2 0 11
3J3E_8 0.36 0.13 1.00 2 2740 2 0 0 2 13
3J3F_8 0.61 0.37 1.00 7 4754 0 0 0 0 12
3LA5_A 0.67 0.56 0.82 14 937 3 1 2 0 11
3NPB_A 0.59 0.35 1.00 13 2265 2 0 0 2 24
3O58_3 0.52 0.27 1.00 6 4758 1 0 0 1 16
3PDR_A 0.53 0.28 1.00 14 4826 0 0 0 0 36
3RKF_A 0.62 0.50 0.80 12 851 3 1 2 0 12
3SD1_A 0.56 0.38 0.85 11 1520 2 0 2 0 18
3W1K_J 0.47 0.26 0.89 8 1669 1 0 1 0 23
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
4JF2_A 0.47 0.29 0.78 7 1073 4 1 1 2 17

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

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

Total Base Pair Counts
Total TP 110
Total TN 47031
Total FP 74
Total FP CONTRA 10
Total FP INCONS 61
Total FP COMP 3
Total FN 458
Total Scores
MCC 0.339
Average MCC ± 95% Confidence Intervals 0.276 ± 0.132
Sensitivity 0.194
Positive Predictive Value 0.608
Nr of predictions 22

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2. Individual counts for RSpredict(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 0 515 13 0 13 0 18
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W1K_J 0.57 0.35 0.92 11 1666 1 0 1 0 20
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12
4FRG_B -0.01 0.00 0.00 0 1200 2 0 2 0 24
4FRN_A 0.00 0.00 0.00 0 1845 3 0 3 0 28
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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