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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidAlifold(seed) Murlet(seed)
MCC 0.695 > 0.540
Average MCC ± 95% Confidence Intervals 0.659 ± 0.087 > 0.547 ± 0.077
Sensitivity 0.549 > 0.338
Positive Predictive Value 0.883 > 0.867
Total TP 424 > 261
Total TN 103913 < 104092
Total FP 81 > 46
Total FP CONTRA 2 < 5
Total FP INCONS 54 > 35
Total FP COMP 25 > 6
Total FN 348 < 511
P-value 5.10776592382e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 424
Total TN 103913
Total FP 81
Total FP CONTRA 2
Total FP INCONS 54
Total FP COMP 25
Total FN 348
Total Scores
MCC 0.695
Average MCC ± 95% Confidence Intervals 0.659 ± 0.087
Sensitivity 0.549
Positive Predictive Value 0.883
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 0.44 0.42 0.47 8 1111 10 0 9 1 11
2KUR_A 0.77 0.71 0.83 15 1110 3 0 3 0 6
2KUU_A 0.84 0.76 0.94 16 1111 2 0 1 1 5
2KUV_A 0.44 0.41 0.50 9 1110 9 0 9 0 13
2KUW_A 0.45 0.43 0.50 9 1110 9 0 9 0 12
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2LC8_A 0.00 0.00 0.00 0 1540 0 0 0 0 20
2XKV_B 0.53 0.50 0.56 10 4542 20 0 8 12 10
2XXA_G 0.77 0.64 0.93 27 5122 3 0 2 1 15
3A3A_A 0.85 0.73 1.00 27 3628 0 0 0 0 10
3GX2_A 0.77 0.60 1.00 24 4347 1 0 0 1 16
3IVN_B 0.78 0.65 0.95 20 2325 1 1 0 0 11
3JYX_4 0.52 0.30 0.91 10 12235 3 0 1 2 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.71 0.54 0.93 25 6994 4 1 1 2 21
3O58_3 0.56 0.34 0.92 12 12390 1 0 1 0 23
3PDR_A 0.77 0.61 0.98 44 12835 3 0 1 2 28
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
4A1C_2 0.46 0.24 0.89 8 11772 3 0 1 2 25
4AOB_A 0.75 0.57 1.00 24 4347 1 0 0 1 18
4ENB_A 0.65 0.42 1.00 8 1267 0 0 0 0 11
4ENC_A 0.65 0.42 1.00 8 1318 0 0 0 0 11

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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 261
Total TN 104092
Total FP 46
Total FP CONTRA 5
Total FP INCONS 35
Total FP COMP 6
Total FN 511
Total Scores
MCC 0.540
Average MCC ± 95% Confidence Intervals 0.547 ± 0.077
Sensitivity 0.338
Positive Predictive Value 0.867
Nr of predictions 25

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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
2KE6_A 0.66 0.53 0.83 10 1116 2 0 2 0 9
2KUR_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUU_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUV_A 0.85 0.73 1.00 16 1112 0 0 0 0 6
2KUW_A 0.84 0.76 0.94 16 1111 1 0 1 0 5
2L1F_A 0.82 0.75 0.90 18 2060 2 0 2 0 6
2L1F_B 0.80 0.72 0.90 18 2125 2 0 2 0 7
2L94_A 0.59 0.40 0.89 8 981 1 0 1 0 12
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
2XKV_B 0.45 0.20 1.00 4 4556 2 0 0 2 16
2XXA_G 0.38 0.14 1.00 6 5145 0 0 0 0 36
3A3A_A 0.57 0.32 1.00 12 3643 0 0 0 0 25
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3NPB_A 0.49 0.28 0.87 13 7006 2 1 1 0 33
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

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