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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 0.753 > 0.564
Average MCC ± 95% Confidence Intervals 0.692 ± 0.139 > 0.561 ± 0.072
Sensitivity 0.641 > 0.366
Positive Predictive Value 0.890 > 0.876
Total TP 259 > 148
Total TN 38296 < 38418
Total FP 49 > 28
Total FP CONTRA 14 > 4
Total FP INCONS 18 > 17
Total FP COMP 17 > 7
Total FN 145 < 256
P-value 3.16042554876e-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 259
Total TN 38296
Total FP 49
Total FP CONTRA 14
Total FP INCONS 18
Total FP COMP 17
Total FN 145
Total Scores
MCC 0.753
Average MCC ± 95% Confidence Intervals 0.692 ± 0.139
Sensitivity 0.641
Positive Predictive Value 0.890
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
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
3J3E_8 0.00 0.00 0.00 0 2738 4 1 3 0 15
3J3F_8 0.44 0.37 0.54 7 4748 8 3 3 2 12
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
3ZEX_C 0.44 0.31 0.64 9 5360 7 1 4 2 20
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
4FRG_B 0.81 0.71 0.94 17 1184 2 0 1 1 7

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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 148
Total TN 38418
Total FP 28
Total FP CONTRA 4
Total FP INCONS 17
Total FP COMP 7
Total FN 256
Total Scores
MCC 0.564
Average MCC ± 95% Confidence Intervals 0.561 ± 0.072
Sensitivity 0.366
Positive Predictive Value 0.876
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
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
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

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