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

  1. Overview

  2. Performance Plots

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

  4. Performance of RDfolder - scored lower in this pairwise comparison

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


Overview

Metric RSpredict(20) RDfolder
MCC 0.665 > 0.563
Average MCC ± 95% Confidence Intervals 0.659 ± 0.099 > 0.576 ± 0.148
Sensitivity 0.514 > 0.447
Positive Predictive Value 0.868 > 0.718
Total TP 237 > 206
Total TN 42538 > 42524
Total FP 40 < 90
Total FP CONTRA 6 < 9
Total FP INCONS 30 < 72
Total FP COMP 4 < 9
Total FN 224 < 255
P-value 2.24270395587e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 237
Total TN 42538
Total FP 40
Total FP CONTRA 6
Total FP INCONS 30
Total FP COMP 4
Total FN 224
Total Scores
MCC 0.665
Average MCC ± 95% Confidence Intervals 0.659 ± 0.099
Sensitivity 0.514
Positive Predictive Value 0.868
Nr of predictions 16

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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
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
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
3J20_0 0.80 0.67 0.95 20 2829 2 0 1 1 10
3J3D_C 0.76 0.64 0.90 18 2755 2 0 2 0 10
3JYV_7 0.77 0.63 0.95 20 2829 1 0 1 0 12
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
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
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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Performance of RDfolder - scored lower in this pairwise comparison

1. Total counts & total scores for RDfolder

Total Base Pair Counts
Total TP 206
Total TN 42524
Total FP 90
Total FP CONTRA 9
Total FP INCONS 72
Total FP COMP 9
Total FN 255
Total Scores
MCC 0.563
Average MCC ± 95% Confidence Intervals 0.576 ± 0.148
Sensitivity 0.447
Positive Predictive Value 0.718
Nr of predictions 16

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.18 0.15 0.22 4 2985 16 2 12 2 23
3GX2_A 0.50 0.40 0.64 16 4346 10 1 8 1 24
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3J20_0 0.73 0.57 0.94 17 2832 2 0 1 1 13
3J3D_C 0.72 0.61 0.85 17 2755 3 0 3 0 11
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.30 0.17 0.54 7 3903 6 0 6 0 35
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ENB_A 0.43 0.32 0.60 6 1265 4 0 4 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 0 4 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.