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 RDfolder - scored lower in this pairwise comparison

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


Overview

Metric Mastr(20) RDfolder
MCC 0.777 > 0.636
Average MCC ± 95% Confidence Intervals 0.781 ± 0.106 > 0.647 ± 0.186
Sensitivity 0.693 > 0.602
Positive Predictive Value 0.880 > 0.687
Total TP 235 > 204
Total TN 17085 > 17055
Total FP 57 < 113
Total FP CONTRA 10 < 25
Total FP INCONS 22 < 68
Total FP COMP 25 > 20
Total FN 104 < 135
P-value 2.66715895098e-08

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Performance plots


  1. Comparison of performance of Mastr(20) and RDfolder. 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 RDfolder).

  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 RDfolder).

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

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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 235
Total TN 17085
Total FP 57
Total FP CONTRA 10
Total FP INCONS 22
Total FP COMP 25
Total FN 104
Total Scores
MCC 0.777
Average MCC ± 95% Confidence Intervals 0.781 ± 0.106
Sensitivity 0.693
Positive Predictive Value 0.880
Nr of predictions 17

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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
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
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
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
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 RDfolder - scored lower in this pairwise comparison

1. Total counts & total scores for RDfolder

Total Base Pair Counts
Total TP 204
Total TN 17055
Total FP 113
Total FP CONTRA 25
Total FP INCONS 68
Total FP COMP 20
Total FN 135
Total Scores
MCC 0.636
Average MCC ± 95% Confidence Intervals 0.647 ± 0.186
Sensitivity 0.602
Positive Predictive Value 0.687
Nr of predictions 17

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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
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 0
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
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
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
3J20_0 0.82 0.76 0.89 16 1201 3 1 1 1 5
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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.