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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 0.728 > 0.660
Average MCC ± 95% Confidence Intervals 0.708 ± 0.063 > 0.644 ± 0.119
Sensitivity 0.580 < 0.590
Positive Predictive Value 0.918 > 0.745
Total TP 404 < 411
Total TN 74789 > 74677
Total FP 89 < 230
Total FP CONTRA 17 < 61
Total FP INCONS 19 < 80
Total FP COMP 53 < 89
Total FN 293 > 286
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 404
Total TN 74789
Total FP 89
Total FP CONTRA 17
Total FP INCONS 19
Total FP COMP 53
Total FN 293
Total Scores
MCC 0.728
Average MCC ± 95% Confidence Intervals 0.708 ± 0.063
Sensitivity 0.580
Positive Predictive Value 0.918
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 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.47 0.22 1.00 2 1150 4 0 0 4 7
2XKV_B 0.67 0.73 0.62 8 1822 22 0 5 17 3
2XQD_Y 0.48 0.24 1.00 5 1124 1 0 0 1 16
2XXA_G 0.83 0.74 0.93 26 2017 4 0 2 2 9
3A2K_C 0.52 0.27 1.00 6 1102 0 0 0 0 16
3AMU_B 0.51 0.26 1.00 5 1152 1 0 0 1 14
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3IZ4_A 0.58 0.43 0.77 41 25483 17 12 0 5 54
3IZF_C 0.67 0.46 1.00 16 2624 0 0 0 0 19
3JYV_7 0.50 0.25 1.00 5 1106 1 0 0 1 15
3JYX_3 0.65 0.53 0.80 8 2368 8 0 2 6 7
3JYX_4 0.91 0.83 1.00 10 4746 3 0 0 3 2
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.79 0.65 0.96 24 2253 5 0 1 4 13
3O58_2 0.72 0.52 1.00 16 2738 0 0 0 0 15
3O58_3 0.68 0.50 0.92 11 4752 2 1 0 1 11
3PDR_A 0.93 0.88 0.98 44 4795 3 0 1 2 6
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
4A1C_2 0.60 0.40 0.89 8 4507 3 1 0 2 12
4A1C_3 0.66 0.43 1.00 16 2747 0 0 0 0 21
4AOB_A 0.89 0.79 1.00 23 1414 2 0 0 2 6
4ENB_A 0.72 0.53 1.00 8 464 0 0 0 0 7
4ENC_A 0.73 0.53 1.00 8 488 0 0 0 0 7

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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 411
Total TN 74677
Total FP 230
Total FP CONTRA 61
Total FP INCONS 80
Total FP COMP 89
Total FN 286
Total Scores
MCC 0.660
Average MCC ± 95% Confidence Intervals 0.644 ± 0.119
Sensitivity 0.590
Positive Predictive Value 0.745
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 0.53 0.50 0.60 9 342 7 0 6 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.00 0.00 0.00 0 1831 4 1 3 0 11
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.69 0.53 0.91 10 1146 2 0 1 1 9
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3IZ4_A 0.61 0.57 0.67 54 25455 38 13 14 11 41
3IZF_C 0.94 0.91 0.97 32 2607 4 0 1 3 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.80 0.80 0.80 12 2363 16 0 3 13 3
3JYX_4 0.59 0.75 0.47 9 4737 33 9 1 23 3
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_2 0.93 0.94 0.94 29 2723 10 0 2 8 2
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4A1C_3 0.60 0.49 0.75 18 2739 8 0 6 2 19
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9

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