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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of CentroidAlifold(20) - scored higher in this pairwise comparison

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

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


Overview

Metric CentroidAlifold(20) RSpredict(20)
MCC 0.680 > 0.543
Average MCC ± 95% Confidence Intervals 0.670 ± 0.063 > 0.529 ± 0.098
Sensitivity 0.520 > 0.425
Positive Predictive Value 0.892 > 0.699
Total TP 519 > 424
Total TN 201737 > 201712
Total FP 102 < 217
Total FP CONTRA 13 < 42
Total FP INCONS 50 < 141
Total FP COMP 39 > 34
Total FN 479 < 574
P-value 5.1503931209e-08

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Performance plots


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

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

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Performance of CentroidAlifold(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 519
Total TN 201737
Total FP 102
Total FP CONTRA 13
Total FP INCONS 50
Total FP COMP 39
Total FN 479
Total Scores
MCC 0.680
Average MCC ± 95% Confidence Intervals 0.670 ± 0.063
Sensitivity 0.520
Positive Predictive Value 0.892
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.61 0.55 0.69 11 974 5 0 5 0 9
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.46 0.25 0.83 5 4554 6 0 1 5 15
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.44 0.19 1.00 8 5143 3 0 0 3 34
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
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 3 4 0 81
3IZF_C 0.75 0.61 0.92 33 6867 4 0 3 1 21
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_3 0.61 0.56 0.68 15 6306 20 0 7 13 12
3JYX_4 0.39 0.27 0.56 9 12230 9 0 7 2 24
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.70 0.54 0.89 25 6993 5 1 2 2 21
3O58_2 0.78 0.76 0.81 29 7224 9 2 5 2 9
3O58_3 0.54 0.31 0.92 11 12391 1 0 1 0 24
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
4A1C_2 0.26 0.15 0.45 5 11770 8 1 5 2 28
4A1C_3 0.76 0.63 0.92 34 7103 4 0 3 1 20
4AOB_A 0.75 0.57 1.00 24 4347 1 0 0 1 18
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.60 0.37 1.00 7 1319 0 0 0 0 12

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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.