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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of CentroidAlifold(20) - scored higher in this pairwise comparison

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

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


Overview

Metric CentroidAlifold(20) Murlet(seed)
MCC 0.765 > 0.588
Average MCC ± 95% Confidence Intervals 0.730 ± 0.093 > 0.590 ± 0.040
Sensitivity 0.651 > 0.379
Positive Predictive Value 0.905 < 0.920
Total TP 256 > 149
Total TN 33218 < 33339
Total FP 54 > 25
Total FP CONTRA 14 > 4
Total FP INCONS 13 > 9
Total FP COMP 27 > 12
Total FN 137 < 244
P-value 3.07760058607e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(20) 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 CentroidAlifold(20) and Murlet(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 CentroidAlifold(20) and Murlet(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(20) 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 CentroidAlifold(20) and Murlet(seed)).

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Performance of CentroidAlifold(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 256
Total TN 33218
Total FP 54
Total FP CONTRA 14
Total FP INCONS 13
Total FP COMP 27
Total FN 137
Total Scores
MCC 0.765
Average MCC ± 95% Confidence Intervals 0.730 ± 0.093
Sensitivity 0.651
Positive Predictive Value 0.905
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.59 0.56 0.67 10 342 6 0 5 1 8
2XKV_B 0.60 0.36 1.00 4 1831 7 0 0 7 7
2XXA_G 0.44 0.20 1.00 7 2038 4 0 0 4 28
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3JYX_4 0.67 0.75 0.60 9 4741 9 5 1 3 3
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.77 0.65 0.92 24 2252 6 1 1 4 13
3O58_3 0.64 0.45 0.91 10 4753 2 1 0 1 12
3PDR_A 0.92 0.90 0.94 45 4792 5 1 2 2 5
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
4A1C_2 0.33 0.25 0.45 5 4505 8 3 3 2 15
4AOB_A 0.89 0.79 1.00 23 1414 2 0 0 2 6
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.68 0.47 1.00 7 489 0 0 0 0 8

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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 149
Total TN 33339
Total FP 25
Total FP CONTRA 4
Total FP INCONS 9
Total FP COMP 12
Total FN 244
Total Scores
MCC 0.588
Average MCC ± 95% Confidence Intervals 0.590 ± 0.040
Sensitivity 0.379
Positive Predictive Value 0.920
Nr of predictions 16

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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
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XXA_G 0.41 0.17 1.00 6 2039 0 0 0 0 29
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
3JYX_4 0.50 0.25 1.00 3 4753 4 0 0 4 9
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
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

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