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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RDfolder RSpredict(seed)
MCC 0.637 > 0.503
Average MCC ± 95% Confidence Intervals 0.642 ± 0.135 > 0.401 ± 0.136
Sensitivity 0.604 > 0.345
Positive Predictive Value 0.687 < 0.753
Total TP 373 > 213
Total TN 27665 < 27925
Total FP 195 > 83
Total FP CONTRA 39 > 8
Total FP INCONS 131 > 62
Total FP COMP 25 > 13
Total FN 245 < 405
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RDfolder 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 RDfolder 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 RDfolder and RSpredict(seed)).

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

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Performance of RDfolder - scored higher in this pairwise comparison

1. Total counts & total scores for RDfolder

Total Base Pair Counts
Total TP 373
Total TN 27665
Total FP 195
Total FP CONTRA 39
Total FP INCONS 131
Total FP COMP 25
Total FN 245
Total Scores
MCC 0.637
Average MCC ± 95% Confidence Intervals 0.642 ± 0.135
Sensitivity 0.604
Positive Predictive Value 0.687
Nr of predictions 31

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2. Individual counts for RDfolder [ 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
2KE6_A 0.91 0.83 1.00 15 452 1 0 0 1 3
2KUR_A 0.91 0.84 1.00 16 451 0 0 0 0 3
2KUU_A 0.91 0.83 1.00 15 432 1 0 0 1 3
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.94 0.89 1.00 16 454 0 0 0 0 2
2KX8_A 0.93 0.88 1.00 14 357 0 0 0 0 2
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L1F_A -0.02 0.00 0.00 0 750 13 2 11 0 23
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A -0.03 0.00 0.00 0 514 14 3 11 0 18
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 0
2WWQ_V 0.80 0.74 0.88 14 1188 4 0 2 2 5
2XKV_B -0.01 0.00 0.00 0 1813 22 10 12 0 11
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2ZZM_B 0.15 0.20 0.13 3 1334 21 7 14 0 12
2ZZN_D 0.93 0.95 0.91 21 961 2 2 0 0 1
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3A3A_A 0.59 0.50 0.71 15 1479 6 0 6 0 15
3AKZ_H 0.53 0.55 0.52 11 1106 12 1 9 2 9
3AMU_B 0.20 0.21 0.22 4 1139 16 4 10 2 15
3GX2_A 0.60 0.57 0.64 16 1424 10 2 7 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3J16_L 0.26 0.24 0.31 5 1143 11 0 11 0 16
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.35 0.24 0.54 7 1520 6 1 5 0 22
4AOB_A 0.42 0.38 0.48 11 1414 13 3 9 1 18
4ENB_A 0.48 0.40 0.60 6 462 4 0 4 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 0 4 0 9

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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 213
Total TN 27925
Total FP 83
Total FP CONTRA 8
Total FP INCONS 62
Total FP COMP 13
Total FN 405
Total Scores
MCC 0.503
Average MCC ± 95% Confidence Intervals 0.401 ± 0.136
Sensitivity 0.345
Positive Predictive Value 0.753
Nr of predictions 31

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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
2KE6_A 0.85 0.78 0.93 14 452 2 0 1 1 4
2KUR_A 0.86 0.79 0.94 15 451 1 0 1 0 4
2KUU_A 0.85 0.78 0.93 14 432 2 0 1 1 4
2KUV_A 0.85 0.79 0.94 15 423 1 0 1 0 4
2KUW_A 0.75 0.67 0.86 12 456 3 0 2 1 6
2KX8_A -0.01 0.00 0.00 0 370 1 0 1 0 16
2L1F_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2WRQ_Y 0.00 0.00 0.00 0 1150 3 1 1 1 9
2WWQ_V -0.01 0.00 0.00 0 1199 6 0 5 1 19
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
2ZZM_B 0.00 0.00 0.00 0 1358 4 0 0 4 15
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3AKZ_H -0.01 0.00 0.00 0 1125 2 0 2 0 20
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
3J16_L 0.00 0.00 0.00 0 1158 1 0 1 0 21
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
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
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.