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

  1. Overview

  2. Performance Plots

  3. Performance of RSpredict(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for RSpredict(20) & Carnac(seed) [.zip] - may take several seconds...


Overview

Metric RSpredict(20) Carnac(seed)
MCC 0.508 > 0.000
Average MCC ± 95% Confidence Intervals 0.479 ± 0.165 > 0.000 ± 0.000
Sensitivity 0.453 > 0.000
Positive Predictive Value 0.579 > 0.000
Total TP 183 > 0
Total TN 38271 < 38587
Total FP 161 > 0
Total FP CONTRA 56 > 0
Total FP INCONS 77 > 0
Total FP COMP 28 > 0
Total FN 221 < 404
P-value 3.10499527239e-08

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Performance plots


  1. Comparison of performance of RSpredict(20) and Carnac(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 RSpredict(20) and Carnac(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 RSpredict(20) and Carnac(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RSpredict(20) and Carnac(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 RSpredict(20) and Carnac(seed)).

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Performance of RSpredict(20) - scored higher in this pairwise comparison

1. Total counts & total scores for RSpredict(20)

Total Base Pair Counts
Total TP 183
Total TN 38271
Total FP 161
Total FP CONTRA 56
Total FP INCONS 77
Total FP COMP 28
Total FN 221
Total Scores
MCC 0.508
Average MCC ± 95% Confidence Intervals 0.479 ± 0.165
Sensitivity 0.453
Positive Predictive Value 0.579
Nr of predictions 16

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2. Individual counts for RSpredict(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3J3E_8 -0.01 0.00 0.00 0 2724 19 5 13 1 15
3J3F_8 0.42 0.47 0.38 9 4737 26 9 6 11 10
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
3ZEX_C 0.34 0.31 0.38 9 5350 19 3 12 4 20
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9
4FRG_B 0.19 0.13 0.33 3 1193 6 1 5 0 21

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

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

Total Base Pair Counts
Total TP 0
Total TN 38587
Total FP 0
Total FP CONTRA 0
Total FP INCONS 0
Total FP COMP 0
Total FN 404
Total Scores
MCC 0.000
Average MCC ± 95% Confidence Intervals 0.000 ± 0.000
Sensitivity 0.000
Positive Predictive Value 0.000
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3GX2_A 0.00 0.00 0.00 0 1449 0 0 0 0 28
3IVN_B 0.00 0.00 0.00 0 903 0 0 0 0 23
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.00 0.00 0.00 0 4761 0 0 0 0 19
3LA5_A 0.00 0.00 0.00 0 954 0 0 0 0 25
3NPB_A 0.00 0.00 0.00 0 2278 0 0 0 0 37
3O58_3 0.00 0.00 0.00 0 4764 0 0 0 0 22
3PDR_A 0.00 0.00 0.00 0 4840 0 0 0 0 50
3RKF_A 0.00 0.00 0.00 0 866 0 0 0 0 24
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3ZEX_C 0.00 0.00 0.00 0 5374 0 0 0 0 29
4A1C_2 0.00 0.00 0.00 0 4516 0 0 0 0 20
4AOB_A 0.00 0.00 0.00 0 1437 0 0 0 0 29
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 0 24

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