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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 Mastr(20) - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) Mastr(20)
MCC 0.670 > 0.412
Average MCC ± 95% Confidence Intervals 0.644 ± 0.108 > 0.326 ± 0.181
Sensitivity 0.487 > 0.234
Positive Predictive Value 0.927 > 0.731
Total TP 243 > 117
Total TN 63861 < 63963
Total FP 35 < 47
Total FP CONTRA 12 > 10
Total FP INCONS 7 < 33
Total FP COMP 16 > 4
Total FN 256 < 382
P-value 3.51155234096e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) and Mastr(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 Mastr(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 243
Total TN 63861
Total FP 35
Total FP CONTRA 12
Total FP INCONS 7
Total FP COMP 16
Total FN 256
Total Scores
MCC 0.670
Average MCC ± 95% Confidence Intervals 0.644 ± 0.108
Sensitivity 0.487
Positive Predictive Value 0.927
Nr of predictions 17

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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
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
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.61 0.37 1.00 7 4754 2 0 0 2 12
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
3ZEX_C 0.49 0.24 1.00 7 5367 2 0 0 2 22
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
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7

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Performance of Mastr(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 117
Total TN 63963
Total FP 47
Total FP CONTRA 10
Total FP INCONS 33
Total FP COMP 4
Total FN 382
Total Scores
MCC 0.412
Average MCC ± 95% Confidence Intervals 0.326 ± 0.181
Sensitivity 0.234
Positive Predictive Value 0.731
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3GX2_A 0.46 0.39 0.55 11 1429 10 2 7 1 17
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3IZ4_A 0.00 0.00 0.00 0 25536 0 0 0 0 95
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.00 0.00 0.00 0 4761 0 0 0 0 19
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.34 0.30 0.41 11 2251 18 1 15 2 26
3O58_3 0.00 0.00 0.00 0 4764 0 0 0 0 22
3PDR_A 0.00 0.00 0.00 0 4840 0 0 0 0 50
3RKF_A 0.84 0.71 1.00 17 849 0 0 0 0 7
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
3ZEX_C 0.00 0.00 0.00 0 5374 0 0 0 0 29
4A1C_2 0.00 0.00 0.00 0 4516 0 0 0 0 20
4AOB_A 0.42 0.34 0.53 10 1418 10 1 8 1 19
4ENB_A 0.44 0.20 1.00 3 469 0 0 0 0 12
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 0 24

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