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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidFold RNASampler(seed)
MCC 0.811 > 0.757
Average MCC ± 95% Confidence Intervals 0.812 ± 0.142 > 0.749 ± 0.139
Sensitivity 0.809 > 0.678
Positive Predictive Value 0.819 < 0.853
Total TP 271 > 227
Total TN 23236 < 23301
Total FP 81 > 62
Total FP CONTRA 26 > 15
Total FP INCONS 34 > 24
Total FP COMP 21 < 23
Total FN 64 < 108
P-value 2.10198558684e-08

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Performance plots


  1. Comparison of performance of CentroidFold and RNASampler(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 CentroidFold and RNASampler(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 CentroidFold and RNASampler(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidFold and RNASampler(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 CentroidFold and RNASampler(seed)).

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Performance of CentroidFold - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 271
Total TN 23236
Total FP 81
Total FP CONTRA 26
Total FP INCONS 34
Total FP COMP 21
Total FN 64
Total Scores
MCC 0.811
Average MCC ± 95% Confidence Intervals 0.812 ± 0.142
Sensitivity 0.809
Positive Predictive Value 0.819
Nr of predictions 16

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2. Individual counts for CentroidFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2LC8_A 0.51 0.39 0.70 7 518 3 1 2 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.41 0.58 0.29 7 4732 25 11 6 8 5
3O58_3 0.44 0.41 0.47 9 4745 11 1 9 1 13
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.70 0.69 0.71 20 1505 8 4 4 0 9
4A1C_2 0.22 0.25 0.19 5 4490 29 9 12 8 15

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

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

Total Base Pair Counts
Total TP 227
Total TN 23301
Total FP 62
Total FP CONTRA 15
Total FP INCONS 24
Total FP COMP 23
Total FN 108
Total Scores
MCC 0.757
Average MCC ± 95% Confidence Intervals 0.749 ± 0.139
Sensitivity 0.678
Positive Predictive Value 0.853
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 0.94 0.89 1.00 16 451 1 0 0 1 2
2KUR_A 0.94 0.89 1.00 17 450 0 0 0 0 2
2KUU_A 0.94 0.89 1.00 16 431 1 0 0 1 2
2KUV_A 0.94 0.89 1.00 17 422 0 0 0 0 2
2KUW_A 0.94 0.89 1.00 16 454 1 0 0 1 2
2L1F_B 0.84 0.71 1.00 17 774 0 0 0 0 7
2L1F_A 0.83 0.70 1.00 16 747 0 0 0 0 7
2L94_A 0.70 0.56 0.91 10 346 2 0 1 1 8
2LC8_A -0.03 0.00 0.00 0 518 10 0 10 0 18
3A3A_A 0.77 0.60 1.00 18 1482 0 0 0 0 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.70 0.83 0.59 10 4739 13 6 1 6 2
3O58_3 0.54 0.50 0.58 11 4745 13 5 3 5 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12

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