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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidAlifold(20) RNAalifold(seed)
MCC 0.657 > 0.579
Average MCC ± 95% Confidence Intervals 0.646 ± 0.091 > 0.582 ± 0.062
Sensitivity 0.475 > 0.366
Positive Predictive Value 0.909 < 0.918
Total TP 291 > 224
Total TN 149188 < 149264
Total FP 39 > 28
Total FP CONTRA 6 < 7
Total FP INCONS 23 > 13
Total FP COMP 10 > 8
Total FN 321 < 388
P-value 2.36983135185e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(20) and RNAalifold(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 CentroidAlifold(20) and RNAalifold(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 CentroidAlifold(20) and RNAalifold(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(20) and RNAalifold(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 CentroidAlifold(20) and RNAalifold(seed)).

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

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

Total Base Pair Counts
Total TP 291
Total TN 149188
Total FP 39
Total FP CONTRA 6
Total FP INCONS 23
Total FP COMP 10
Total FN 321
Total Scores
MCC 0.657
Average MCC ± 95% Confidence Intervals 0.646 ± 0.091
Sensitivity 0.475
Positive Predictive Value 0.909
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3GX2_A 0.77 0.60 1.00 24 4347 1 0 0 1 16
3IVN_B 0.78 0.65 0.95 20 2325 1 1 0 0 11
3IZ4_A 0.58 0.39 0.88 51 70818 7 3 4 0 81
3JYX_4 0.39 0.27 0.56 9 12230 9 0 7 2 24
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.70 0.54 0.89 25 6993 5 1 2 2 21
3O58_3 0.54 0.31 0.92 11 12391 1 0 1 0 24
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
4A1C_2 0.26 0.15 0.45 5 11770 8 1 5 2 28
4AOB_A 0.75 0.57 1.00 24 4347 1 0 0 1 18
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.60 0.37 1.00 7 1319 0 0 0 0 12

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

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

Total Base Pair Counts
Total TP 224
Total TN 149264
Total FP 28
Total FP CONTRA 7
Total FP INCONS 13
Total FP COMP 8
Total FN 388
Total Scores
MCC 0.579
Average MCC ± 95% Confidence Intervals 0.582 ± 0.062
Sensitivity 0.366
Positive Predictive Value 0.918
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3GX2_A 0.74 0.55 1.00 22 4349 1 0 0 1 18
3IVN_B 0.61 0.48 0.79 15 2327 4 2 2 0 16
3IZ4_A 0.42 0.21 0.85 28 70843 5 1 4 0 104
3JYX_4 0.46 0.21 1.00 7 12239 2 0 0 2 26
3LA5_A 0.63 0.47 0.84 16 2466 3 1 2 0 18
3NPB_A 0.66 0.48 0.92 22 6997 3 1 1 1 24
3O58_3 0.51 0.26 1.00 9 12394 0 0 0 0 26
3PDR_A 0.68 0.46 1.00 33 12847 1 0 0 1 39
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3SD1_A 0.58 0.40 0.85 17 3896 3 1 2 0 25
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 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.