CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MaxExpect RSpredict(20)
MCC 0.588 > 0.543
Average MCC ± 95% Confidence Intervals 0.595 ± 0.085 > 0.529 ± 0.098
Sensitivity 0.516 > 0.425
Positive Predictive Value 0.675 < 0.699
Total TP 515 > 424
Total TN 201556 < 201712
Total FP 329 > 217
Total FP CONTRA 30 < 42
Total FP INCONS 218 > 141
Total FP COMP 81 > 34
Total FN 483 < 574
P-value 5.23657817852e-08

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Performance plots


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

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

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Performance of MaxExpect - scored higher in this pairwise comparison

1. Total counts & total scores for MaxExpect

Total Base Pair Counts
Total TP 515
Total TN 201556
Total FP 329
Total FP CONTRA 30
Total FP INCONS 218
Total FP COMP 81
Total FN 483
Total Scores
MCC 0.588
Average MCC ± 95% Confidence Intervals 0.595 ± 0.085
Sensitivity 0.516
Positive Predictive Value 0.675
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2WRQ_Y 0.53 0.53 0.53 9 2833 13 5 3 5 8
2XKV_B 0.51 0.50 0.53 10 4541 24 0 9 15 10
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.25 0.24 0.27 10 5114 27 1 26 0 32
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3AMU_B 0.64 0.59 0.70 16 2980 9 0 7 2 11
3GX2_A 0.77 0.63 0.96 25 4345 2 0 1 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.54 0.46 0.64 61 70781 39 3 31 5 71
3IZF_C 0.71 0.61 0.83 33 6863 7 1 6 0 21
3JYV_7 0.41 0.31 0.56 10 2832 8 0 8 0 22
3JYX_3 0.64 0.63 0.65 17 6302 19 1 8 10 10
3JYX_4 0.31 0.30 0.31 10 12214 34 4 18 12 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.71 0.61 0.82 28 6987 9 0 6 3 18
3O58_2 0.75 0.76 0.74 29 7221 11 3 7 1 9
3O58_3 0.35 0.34 0.35 12 12369 35 2 20 13 23
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
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 0.14 0.15 0.14 5 11746 41 4 26 11 28
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.31 0.26 0.38 5 1313 8 1 7 0 14

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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.