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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Mastr(20) RSpredict(seed)
MCC 0.635 > 0.298
Average MCC ± 95% Confidence Intervals 0.615 ± 0.141 > 0.246 ± 0.122
Sensitivity 0.478 > 0.156
Positive Predictive Value 0.849 > 0.582
Total TP 338 > 110
Total TN 75005 < 75214
Total FP 127 > 89
Total FP CONTRA 10 < 14
Total FP INCONS 50 < 65
Total FP COMP 67 > 10
Total FN 369 < 597
P-value 5.23657817852e-08

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Performance plots


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

  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 Mastr(20) and RSpredict(seed)).

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

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

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

Total Base Pair Counts
Total TP 338
Total TN 75005
Total FP 127
Total FP CONTRA 10
Total FP INCONS 50
Total FP COMP 67
Total FN 369
Total Scores
MCC 0.635
Average MCC ± 95% Confidence Intervals 0.615 ± 0.141
Sensitivity 0.478
Positive Predictive Value 0.849
Nr of predictions 27

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 0.88 0.83 0.94 15 341 2 0 1 1 3
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 0
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.81 0.77 0.85 17 1088 3 0 3 0 5
3AMU_B 0.89 0.79 1.00 15 1142 2 0 0 2 4
3GX2_A 0.46 0.39 0.55 11 1429 10 2 7 1 17
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3IZ4_A 0.00 0.00 0.00 0 25536 0 0 0 0 95
3IZF_C 0.91 0.91 0.91 32 2605 9 0 3 6 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.77 0.80 0.75 12 2362 26 0 4 22 3
3JYX_4 0.00 0.00 0.00 0 4756 0 0 0 0 12
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.34 0.30 0.41 11 2251 18 1 15 2 26
3O58_2 0.93 0.94 0.94 29 2723 12 0 2 10 2
3O58_3 0.00 0.00 0.00 0 4764 0 0 0 0 22
3PDR_A 0.00 0.00 0.00 0 4840 0 0 0 0 50
3RKF_A 0.84 0.71 1.00 17 849 0 0 0 0 7
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
4A1C_2 0.00 0.00 0.00 0 4516 0 0 0 0 20
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
4AOB_A 0.42 0.34 0.53 10 1418 10 1 8 1 19
4ENB_A 0.44 0.20 1.00 3 469 0 0 0 0 12
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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

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

Total Base Pair Counts
Total TP 110
Total TN 75214
Total FP 89
Total FP CONTRA 14
Total FP INCONS 65
Total FP COMP 10
Total FN 597
Total Scores
MCC 0.298
Average MCC ± 95% Confidence Intervals 0.246 ± 0.122
Sensitivity 0.156
Positive Predictive Value 0.582
Nr of predictions 27

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2WRQ_Y 0.00 0.00 0.00 0 1150 3 1 1 1 9
2XKV_B 0.38 0.36 0.40 4 1825 8 4 2 2 7
2XQD_Y -0.01 0.00 0.00 0 1124 5 0 5 0 21
2XXA_G 0.37 0.20 0.70 7 2035 3 0 3 0 28
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3AMU_B -0.01 0.00 0.00 0 1155 2 0 2 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3IZF_C 0.00 0.00 0.00 0 2635 5 0 5 0 35
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3JYX_3 0.00 0.00 0.00 0 2373 5 1 4 0 15
3JYX_4 0.00 0.00 0.00 0 4754 5 0 2 3 12
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_2 0.00 0.00 0.00 0 2751 3 0 3 0 31
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12

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