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

  1. Overview

  2. Performance Plots

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

  4. Performance of Vsfold4 - scored lower in this pairwise comparison

  5. Compile and download dataset for TurboFold(seed) & Vsfold4 [.zip] - may take several seconds...


Overview

Metric TurboFold(seed) Vsfold4
MCC 0.550 > 0.460
Average MCC ± 95% Confidence Intervals 0.554 ± 0.228 > 0.479 ± 0.235
Sensitivity 0.548 > 0.457
Positive Predictive Value 0.562 > 0.475
Total TP 114 > 95
Total TN 18230 < 18233
Total FP 129 < 141
Total FP CONTRA 32 = 32
Total FP INCONS 57 < 73
Total FP COMP 40 > 36
Total FN 94 < 113
P-value 4.09606974296e-09

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Performance plots


  1. Comparison of performance of TurboFold(seed) and Vsfold4. 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 TurboFold(seed) and Vsfold4).

  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 TurboFold(seed) and Vsfold4).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(seed) and Vsfold4. 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 TurboFold(seed) and Vsfold4).

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Performance of TurboFold(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 114
Total TN 18230
Total FP 129
Total FP CONTRA 32
Total FP INCONS 57
Total FP COMP 40
Total FN 94
Total Scores
MCC 0.550
Average MCC ± 95% Confidence Intervals 0.554 ± 0.228
Sensitivity 0.548
Positive Predictive Value 0.562
Nr of predictions 10

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
3J3E_8 0.27 0.33 0.23 5 2720 28 6 11 11 10
3J3F_8 0.42 0.53 0.34 10 4732 35 9 10 16 9
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.71 0.69 0.74 20 1506 7 2 5 0 9
4A1C_2 0.20 0.25 0.17 5 4486 37 9 16 12 15
4AOB_A 0.67 0.59 0.77 17 1415 6 2 3 1 12
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4JF2_A 0.89 0.79 1.00 19 1063 0 0 0 0 5

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Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 95
Total TN 18233
Total FP 141
Total FP CONTRA 32
Total FP INCONS 73
Total FP COMP 36
Total FN 113
Total Scores
MCC 0.460
Average MCC ± 95% Confidence Intervals 0.479 ± 0.235
Sensitivity 0.457
Positive Predictive Value 0.475
Nr of predictions 10

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2. Individual counts for Vsfold4 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
3J3E_8 0.10 0.13 0.09 2 2720 32 9 11 12 13
3J3F_8 0.35 0.42 0.30 8 4734 30 11 8 11 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.23 0.24 0.24 7 1504 22 5 17 0 22
4A1C_2 0.36 0.40 0.33 8 4492 28 4 12 12 12
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.77 0.60 1.00 9 487 0 0 0 0 6
4JF2_A 0.74 0.67 0.84 16 1063 3 0 3 0 8

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