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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 Murlet(20) - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) Murlet(20)
MCC 0.673 > 0.627
Average MCC ± 95% Confidence Intervals 0.677 ± 0.064 > 0.635 ± 0.092
Sensitivity 0.492 < 0.498
Positive Predictive Value 0.925 > 0.795
Total TP 245 < 248
Total TN 58946 > 58899
Total FP 37 < 99
Total FP CONTRA 12 < 20
Total FP INCONS 8 < 44
Total FP COMP 17 < 35
Total FN 253 > 250
P-value 2.61939086268e-08

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Performance plots


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

  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 Murlet(20)).

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

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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 245
Total TN 58946
Total FP 37
Total FP CONTRA 12
Total FP INCONS 8
Total FP COMP 17
Total FN 253
Total Scores
MCC 0.673
Average MCC ± 95% Confidence Intervals 0.677 ± 0.064
Sensitivity 0.492
Positive Predictive Value 0.925
Nr of predictions 18

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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
2KDQ_B 0.54 0.30 1.00 3 171 0 0 0 0 7
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
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
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 Murlet(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 248
Total TN 58899
Total FP 99
Total FP CONTRA 20
Total FP INCONS 44
Total FP COMP 35
Total FN 250
Total Scores
MCC 0.627
Average MCC ± 95% Confidence Intervals 0.635 ± 0.092
Sensitivity 0.498
Positive Predictive Value 0.795
Nr of predictions 18

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.70 0.50 1.00 5 169 0 0 0 0 5
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3GX2_A 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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