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

  1. Overview

  2. Performance Plots

  3. Performance of RNASampler(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(seed) CentroidAlifold(seed)
MCC 0.757 > 0.752
Average MCC ± 95% Confidence Intervals 0.749 ± 0.139 > 0.703 ± 0.147
Sensitivity 0.678 = 0.678
Positive Predictive Value 0.853 > 0.841
Total TP 227 = 227
Total TN 23301 > 23297
Total FP 62 > 55
Total FP CONTRA 15 > 4
Total FP INCONS 24 < 39
Total FP COMP 23 > 12
Total FN 108 = 108
P-value 0.0214507655873

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 227
Total TN 23297
Total FP 55
Total FP CONTRA 4
Total FP INCONS 39
Total FP COMP 12
Total FN 108
Total Scores
MCC 0.752
Average MCC ± 95% Confidence Intervals 0.703 ± 0.147
Sensitivity 0.678
Positive Predictive Value 0.841
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 0.44 0.44 0.47 8 450 10 0 9 1 10
2KUR_A 0.77 0.74 0.82 14 450 4 0 3 1 5
2KUU_A 0.88 0.83 0.94 15 431 3 0 1 2 3
2KUV_A 0.46 0.47 0.50 9 421 9 0 9 0 10
2KUW_A 0.44 0.44 0.47 8 453 10 0 9 1 10
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 0.51 0.50 0.56 9 341 8 0 7 1 9
2LC8_A 0.00 0.00 0.00 0 528 0 0 0 0 18
3A3A_A 0.95 0.90 1.00 27 1473 0 0 0 0 3
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3JYX_4 0.91 0.83 1.00 10 4746 3 0 0 3 2
3O58_3 0.68 0.50 0.92 11 4752 2 1 0 1 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
4A1C_2 0.60 0.40 0.89 8 4507 3 1 0 2 12

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