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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of CentroidFold - scored higher in this pairwise comparison

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

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


Overview

Metric CentroidFold RSpredict(20)
MCC 0.597 > 0.543
Average MCC ± 95% Confidence Intervals 0.605 ± 0.088 > 0.529 ± 0.098
Sensitivity 0.506 > 0.425
Positive Predictive Value 0.707 > 0.699
Total TP 505 > 424
Total TN 201605 < 201712
Total FP 255 > 217
Total FP CONTRA 37 < 42
Total FP INCONS 172 > 141
Total FP COMP 46 > 34
Total FN 493 < 574
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of CentroidFold - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 505
Total TN 201605
Total FP 255
Total FP CONTRA 37
Total FP INCONS 172
Total FP COMP 46
Total FN 493
Total Scores
MCC 0.597
Average MCC ± 95% Confidence Intervals 0.605 ± 0.088
Sensitivity 0.506
Positive Predictive Value 0.707
Nr of predictions 26

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2. Individual counts for CentroidFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2XKV_B 0.51 0.50 0.53 10 4541 25 0 9 16 10
2XQD_Y 0.75 0.67 0.86 18 2829 3 0 3 0 9
2XXA_G 0.15 0.12 0.20 5 5126 20 1 19 0 37
3A2K_C 0.44 0.43 0.46 12 2900 14 2 12 0 16
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3GX2_A 0.79 0.63 1.00 25 4346 1 0 0 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.55 0.45 0.68 59 70789 33 4 24 5 73
3IZF_C 0.68 0.61 0.77 33 6860 10 1 9 0 21
3JYV_7 0.77 0.59 1.00 19 2831 0 0 0 0 13
3JYX_3 0.29 0.30 0.30 8 6301 20 8 11 1 19
3JYX_4 0.23 0.21 0.25 7 12218 25 5 16 4 26
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.77 0.70 0.86 32 6984 7 1 4 2 14
3O58_2 0.82 0.76 0.88 29 7227 7 1 3 3 9
3O58_3 0.38 0.29 0.50 10 12383 10 0 10 0 25
3PDR_A 0.73 0.60 0.90 43 12832 7 0 5 2 29
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.58 0.48 0.71 20 3888 8 1 7 0 22
4A1C_2 0.16 0.15 0.17 5 11752 29 5 19 5 28
4A1C_3 0.67 0.56 0.81 30 7103 7 1 6 0 24
4AOB_A 0.45 0.33 0.61 14 4348 10 1 8 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.73 0.58 0.92 11 1314 1 1 0 0 8

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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.