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Table of contents:

  1. Overview

  2. Performance Plots

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

  4. Performance of MaxExpect - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) MaxExpect
MCC 0.672 > 0.668
Average MCC ± 95% Confidence Intervals 0.674 ± 0.103 < 0.719 ± 0.119
Sensitivity 0.524 < 0.697
Positive Predictive Value 0.867 > 0.647
Total TP 373 < 496
Total TN 85790 > 85453
Total FP 81 < 371
Total FP CONTRA 25 < 100
Total FP INCONS 32 < 171
Total FP COMP 24 < 100
Total FN 339 > 216
P-value 0.657358697881

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Performance plots


  1. Comparison of performance of RNAalifold(seed) and MaxExpect. 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 RNAalifold(seed) and MaxExpect).

  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 RNAalifold(seed) and MaxExpect).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) and MaxExpect. 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 RNAalifold(seed) and MaxExpect).

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

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

Total Base Pair Counts
Total TP 373
Total TN 85790
Total FP 81
Total FP CONTRA 25
Total FP INCONS 32
Total FP COMP 24
Total FN 339
Total Scores
MCC 0.672
Average MCC ± 95% Confidence Intervals 0.674 ± 0.103
Sensitivity 0.524
Positive Predictive Value 0.867
Nr of predictions 27

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 0.88 0.83 0.94 15 454 2 0 1 1 3
2KX8_A 0.00 0.00 0.00 0 371 0 0 0 0 16
2L1F_B 0.65 0.58 0.74 14 772 5 0 5 0 10
2L1F_A 0.68 0.61 0.78 14 745 4 0 4 0 9
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 0.80 0.64 1.00 7 1828 2 0 0 2 4
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.71 0.65 0.79 15 884 4 2 2 0 8
3IYQ_A 0.36 0.27 0.48 14 22411 19 13 2 4 37
3IZ4_A 0.46 0.26 0.81 25 25505 8 6 0 2 70
3JYX_4 0.76 0.58 1.00 7 4749 2 0 0 2 5
3LA5_A 0.73 0.64 0.84 16 935 3 1 2 0 9
3NPB_A 0.77 0.59 1.00 22 2256 3 0 0 3 15
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.81 0.66 1.00 33 4807 1 0 0 1 17
3RKF_A 0.74 0.67 0.84 16 847 3 1 2 0 8
3SD1_A 0.70 0.59 0.85 17 1513 3 2 1 0 12
4A1C_2 0.50 0.25 1.00 5 4511 2 0 0 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
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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Performance of MaxExpect - scored lower in this pairwise comparison

1. Total counts & total scores for MaxExpect

Total Base Pair Counts
Total TP 496
Total TN 85453
Total FP 371
Total FP CONTRA 100
Total FP INCONS 171
Total FP COMP 100
Total FN 216
Total Scores
MCC 0.668
Average MCC ± 95% Confidence Intervals 0.719 ± 0.119
Sensitivity 0.697
Positive Predictive Value 0.647
Nr of predictions 27

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2. Individual counts for MaxExpect [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 0.94 0.94 0.94 17 449 2 0 1 1 1
2KUR_A 0.95 0.95 0.95 18 448 1 0 1 0 1
2KUU_A 0.94 0.94 0.94 17 429 2 0 1 1 1
2KUV_A 0.94 0.95 0.95 18 420 1 0 1 0 1
2KUW_A 0.94 0.94 0.94 17 452 2 0 1 1 1
2KX8_A 1.00 1.00 1.00 16 355 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
2XKV_B 0.64 0.73 0.57 8 1821 26 0 6 20 3
2XXA_G 0.24 0.26 0.25 9 2009 28 1 26 1 26
3GX2_A 0.93 0.89 0.96 25 1423 2 1 0 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.24 0.33 0.17 17 22342 96 41 40 15 34
3IZ4_A 0.61 0.61 0.62 58 25442 42 14 22 6 37
3JYX_4 0.55 0.83 0.37 10 4729 34 14 3 17 2
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.77 0.73 0.82 27 2245 10 0 6 4 10
3O58_3 0.40 0.50 0.33 11 4731 36 8 14 14 11
3PDR_A 0.92 0.90 0.94 45 4792 5 1 2 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.70 0.69 0.71 20 1505 8 3 5 0 9
4A1C_2 0.19 0.25 0.16 5 4484 41 10 17 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.36 0.33 0.42 5 484 8 0 7 1 10

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