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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 RSpredict(20) - scored lower in this pairwise comparison

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


Overview

Metric CentroidAlifold(seed) RSpredict(20)
MCC 0.629 > 0.543
Average MCC ± 95% Confidence Intervals 0.603 ± 0.057 > 0.529 ± 0.098
Sensitivity 0.430 > 0.425
Positive Predictive Value 0.923 > 0.699
Total TP 429 > 424
Total TN 201854 > 201712
Total FP 64 < 217
Total FP CONTRA 4 < 42
Total FP INCONS 32 < 141
Total FP COMP 28 < 34
Total FN 569 < 574
P-value 5.19332990918e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(seed) and RSpredict(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 CentroidAlifold(seed) and RSpredict(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 CentroidAlifold(seed) and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(seed) and RSpredict(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 CentroidAlifold(seed) and RSpredict(20)).

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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 429
Total TN 201854
Total FP 64
Total FP CONTRA 4
Total FP INCONS 32
Total FP COMP 28
Total FN 569
Total Scores
MCC 0.629
Average MCC ± 95% Confidence Intervals 0.603 ± 0.057
Sensitivity 0.430
Positive Predictive Value 0.923
Nr of predictions 26

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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
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.24 0.12 0.50 2 2846 4 0 2 2 15
2XKV_B 0.53 0.50 0.56 10 4542 20 0 8 12 10
2XQD_Y 0.47 0.22 1.00 6 2844 0 0 0 0 21
2XXA_G 0.77 0.64 0.93 27 5122 3 0 2 1 15
3A2K_C 0.46 0.21 1.00 6 2920 0 0 0 0 22
3AMU_B 0.47 0.22 1.00 6 2997 0 0 0 0 21
3GX2_A 0.77 0.60 1.00 24 4347 1 0 0 1 16
3IVN_B 0.78 0.65 0.95 20 2325 1 1 0 0 11
3IZ4_A 0.58 0.39 0.88 51 70818 7 2 5 0 81
3IZF_C 0.54 0.30 1.00 16 6887 0 0 0 0 38
3JYV_7 0.43 0.19 1.00 6 2844 0 0 0 0 26
3JYX_3 0.59 0.41 0.85 11 6315 5 0 2 3 16
3JYX_4 0.52 0.30 0.91 10 12235 3 0 1 2 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.71 0.54 0.93 25 6994 4 1 1 2 21
3O58_2 0.65 0.42 1.00 16 7244 0 0 0 0 22
3O58_3 0.56 0.34 0.92 12 12390 1 0 1 0 23
3PDR_A 0.77 0.61 0.98 44 12835 3 0 1 2 28
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
4A1C_2 0.46 0.24 0.89 8 11772 3 0 1 2 25
4A1C_3 0.54 0.30 1.00 16 7124 0 0 0 0 38
4AOB_A 0.75 0.57 1.00 24 4347 1 0 0 1 18
4ENB_A 0.65 0.42 1.00 8 1267 0 0 0 0 11
4ENC_A 0.65 0.42 1.00 8 1318 0 0 0 0 11

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

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

Total Base Pair Counts
Total TP 424
Total TN 201712
Total FP 217
Total FP CONTRA 42
Total FP INCONS 141
Total FP COMP 34
Total FN 574
Total Scores
MCC 0.543
Average MCC ± 95% Confidence Intervals 0.529 ± 0.098
Sensitivity 0.425
Positive Predictive Value 0.699
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.55 0.50 0.63 10 974 6 0 6 0 10
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.00 0.00 0.00 0 4556 4 0 4 0 20
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.46 0.21 1.00 9 5142 0 0 0 0 33
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.61 0.41 0.92 11 2991 1 0 1 0 16
3GX2_A 0.33 0.15 0.75 6 4363 2 0 2 0 34
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZ4_A 0.53 0.43 0.65 57 70788 35 8 23 4 75
3IZF_C 0.75 0.61 0.92 33 6867 3 1 2 0 21
3JYV_7 0.77 0.63 0.95 20 2829 1 0 1 0 12
3JYX_3 0.61 0.56 0.68 15 6306 13 0 7 6 12
3JYX_4 0.28 0.27 0.30 9 12216 33 5 16 12 24
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.00 0.00 0.00 0 7015 6 1 5 0 46
3O58_2 0.76 0.76 0.76 29 7222 10 3 6 1 9
3O58_3 0.32 0.34 0.30 12 12363 28 12 16 0 23
3PDR_A 0.67 0.49 0.92 35 12842 5 0 3 2 37
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.68 0.60 0.78 25 3884 7 1 6 0 17
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
4A1C_3 0.48 0.33 0.69 18 7114 8 0 8 0 36
4AOB_A 0.28 0.14 0.55 6 4360 5 0 5 0 36
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.45 0.32 0.67 6 1317 3 0 3 0 13

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