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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 0.791 > 0.621
Average MCC ± 95% Confidence Intervals 0.744 ± 0.096 > 0.619 ± 0.074
Sensitivity 0.710 > 0.445
Positive Predictive Value 0.886 > 0.878
Total TP 412 > 258
Total TN 38908 < 39079
Total FP 93 > 49
Total FP CONTRA 5 > 4
Total FP INCONS 48 > 32
Total FP COMP 40 > 13
Total FN 168 < 322
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 412
Total TN 38908
Total FP 93
Total FP CONTRA 5
Total FP INCONS 48
Total FP COMP 40
Total FN 168
Total Scores
MCC 0.791
Average MCC ± 95% Confidence Intervals 0.744 ± 0.096
Sensitivity 0.710
Positive Predictive Value 0.886
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 0.44 0.47 8 450 10 0 9 1 10
2KUR_A 0.77 0.74 0.82 14 450 4 0 3 1 5
2KUU_A 0.88 0.83 0.94 15 431 3 0 1 2 3
2KUV_A 0.46 0.47 0.50 9 421 9 0 9 0 10
2KUW_A 0.44 0.44 0.47 8 453 10 0 9 1 10
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2LC8_A 0.00 0.00 0.00 0 528 0 0 0 0 18
2XKV_B 0.67 0.73 0.62 8 1822 22 0 5 17 3
2XXA_G 0.83 0.74 0.93 26 2017 4 0 2 2 9
3A3A_A 0.95 0.90 1.00 27 1473 0 0 0 0 3
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 0.91 0.83 1.00 10 4746 3 0 0 3 2
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.79 0.65 0.96 24 2253 5 0 1 4 13
3O58_3 0.68 0.50 0.92 11 4752 2 1 0 1 11
3PDR_A 0.93 0.88 0.98 44 4795 3 0 1 2 6
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
4A1C_2 0.60 0.40 0.89 8 4507 3 1 0 2 12
4AOB_A 0.89 0.79 1.00 23 1414 2 0 0 2 6
4ENB_A 0.72 0.53 1.00 8 464 0 0 0 0 7
4ENC_A 0.73 0.53 1.00 8 488 0 0 0 0 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 258
Total TN 39079
Total FP 49
Total FP CONTRA 4
Total FP INCONS 32
Total FP COMP 13
Total FN 322
Total Scores
MCC 0.621
Average MCC ± 95% Confidence Intervals 0.619 ± 0.074
Sensitivity 0.445
Positive Predictive Value 0.878
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 0.67 0.56 0.83 10 455 2 0 2 0 8
2KUR_A 0.65 0.53 0.83 10 455 2 0 2 0 9
2KUU_A 0.67 0.56 0.83 10 435 2 0 2 0 8
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.88 0.83 0.94 15 454 2 0 1 1 3
2L1F_A 0.83 0.78 0.90 18 743 2 0 2 0 5
2L1F_B 0.82 0.75 0.90 18 771 2 0 2 0 6
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
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
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
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.