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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) RSpredict(seed)
MCC 0.765 > 0.631
Average MCC ± 95% Confidence Intervals 0.764 ± 0.134 > 0.570 ± 0.188
Sensitivity 0.687 > 0.501
Positive Predictive Value 0.859 > 0.805
Total TP 237 > 173
Total TN 23465 < 23526
Total FP 62 > 50
Total FP CONTRA 15 > 4
Total FP INCONS 24 < 38
Total FP COMP 23 > 8
Total FN 108 < 172
P-value 2.57237423209e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and RSpredict(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 RSpredict(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 237
Total TN 23465
Total FP 62
Total FP CONTRA 15
Total FP INCONS 24
Total FP COMP 23
Total FN 108
Total Scores
MCC 0.765
Average MCC ± 95% Confidence Intervals 0.764 ± 0.134
Sensitivity 0.687
Positive Predictive Value 0.859
Nr of predictions 17

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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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
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 RSpredict(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 173
Total TN 23526
Total FP 50
Total FP CONTRA 4
Total FP INCONS 38
Total FP COMP 8
Total FN 172
Total Scores
MCC 0.631
Average MCC ± 95% Confidence Intervals 0.570 ± 0.188
Sensitivity 0.501
Positive Predictive Value 0.805
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2KE6_A 0.85 0.78 0.93 14 452 2 0 1 1 4
2KUR_A 0.86 0.79 0.94 15 451 1 0 1 0 4
2KUU_A 0.85 0.78 0.93 14 432 2 0 1 1 4
2KUV_A 0.85 0.79 0.94 15 423 1 0 1 0 4
2KUW_A 0.75 0.67 0.86 12 456 3 0 2 1 6
2L1F_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3JYX_4 0.00 0.00 0.00 0 4754 5 0 2 3 12
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20

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