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 Fold - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) Fold
MCC 0.734 > 0.724
Average MCC ± 95% Confidence Intervals 0.723 ± 0.187 < 0.747 ± 0.231
Sensitivity 0.651 < 0.758
Positive Predictive Value 0.837 > 0.700
Total TP 164 < 191
Total TN 15745 > 15668
Total FP 48 < 115
Total FP CONTRA 9 < 27
Total FP INCONS 23 < 55
Total FP COMP 16 < 33
Total FN 88 > 61
P-value 0.000537170415527

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Performance plots


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

  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 Fold).

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

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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 164
Total TN 15745
Total FP 48
Total FP CONTRA 9
Total FP INCONS 23
Total FP COMP 16
Total FN 88
Total Scores
MCC 0.734
Average MCC ± 95% Confidence Intervals 0.723 ± 0.187
Sensitivity 0.651
Positive Predictive Value 0.837
Nr of predictions 12

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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
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_A 0.83 0.70 1.00 16 747 0 0 0 0 7
2L1F_B 0.84 0.71 1.00 17 774 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
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 Fold - scored lower in this pairwise comparison

1. Total counts & total scores for Fold

Total Base Pair Counts
Total TP 191
Total TN 15668
Total FP 115
Total FP CONTRA 27
Total FP INCONS 55
Total FP COMP 33
Total FN 61
Total Scores
MCC 0.724
Average MCC ± 95% Confidence Intervals 0.747 ± 0.231
Sensitivity 0.758
Positive Predictive Value 0.700
Nr of predictions 12

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
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_A 0.91 0.91 0.91 21 740 2 0 2 0 2
2L1F_B 0.91 0.92 0.92 22 767 2 0 2 0 2
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
3O58_3 0.39 0.50 0.31 11 4728 41 9 16 16 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.68 0.69 0.69 20 1504 9 4 5 0 9
4A1C_2 0.19 0.25 0.15 5 4482 43 11 18 14 15

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