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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 RNASampler(20) - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) RNASampler(20)
MCC 0.670 > 0.647
Average MCC ± 95% Confidence Intervals 0.644 ± 0.108 < 0.652 ± 0.123
Sensitivity 0.487 < 0.569
Positive Predictive Value 0.927 > 0.742
Total TP 243 < 284
Total TN 63861 > 63740
Total FP 35 < 157
Total FP CONTRA 12 < 38
Total FP INCONS 7 < 61
Total FP COMP 16 < 58
Total FN 256 > 215
P-value 2.9966815982e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) and RNASampler(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 RNASampler(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 RNASampler(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 284
Total TN 63740
Total FP 157
Total FP CONTRA 38
Total FP INCONS 61
Total FP COMP 58
Total FN 215
Total Scores
MCC 0.647
Average MCC ± 95% Confidence Intervals 0.652 ± 0.123
Sensitivity 0.569
Positive Predictive Value 0.742
Nr of predictions 17

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2. Individual counts for RNASampler(20) [ 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 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.41 0.65 39 25476 26 15 6 5 56
3J3E_8 0.19 0.20 0.19 3 2726 21 5 8 8 12
3J3F_8 0.43 0.47 0.39 9 4738 20 6 8 6 10
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.75 0.57 1.00 21 2257 5 0 0 5 16
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
3ZEX_C 0.35 0.31 0.39 9 5351 21 3 11 7 20
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4
4FRG_B 0.64 0.54 0.76 13 1185 4 0 4 0 11

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