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

  1. Overview

  2. Performance Plots

  3. Performance of Vsfold4 - scored higher in this pairwise comparison

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

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


Overview

Metric Vsfold4 RSpredict(seed)
MCC 0.531 > 0.324
Average MCC ± 95% Confidence Intervals 0.577 ± 0.166 > 0.291 ± 0.143
Sensitivity 0.530 > 0.177
Positive Predictive Value 0.538 < 0.600
Total TP 305 > 102
Total TN 77148 < 77545
Total FP 307 > 78
Total FP CONTRA 83 > 17
Total FP INCONS 179 > 51
Total FP COMP 45 > 10
Total FN 270 < 473
P-value 3.54229534325e-08

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Performance plots


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

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

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Performance of Vsfold4 - scored higher in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 305
Total TN 77148
Total FP 307
Total FP CONTRA 83
Total FP INCONS 179
Total FP COMP 45
Total FN 270
Total Scores
MCC 0.531
Average MCC ± 95% Confidence Intervals 0.577 ± 0.166
Sensitivity 0.530
Positive Predictive Value 0.538
Nr of predictions 19

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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
2ZZN_D 0.95 0.95 0.95 21 962 1 1 0 0 1
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3A3A_A 0.95 0.90 1.00 27 1473 0 0 0 0 3
3GX2_A 0.60 0.57 0.64 16 1424 10 0 9 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.27 0.35 0.21 18 22353 80 40 29 11 33
3IZ4_A 0.39 0.39 0.39 37 25441 63 15 43 5 58
3JYV_7 -0.02 0.00 0.00 0 1092 19 4 15 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.66 0.59 0.73 22 2248 10 0 8 2 15
3O58_3 0.12 0.14 0.11 3 4737 35 8 16 11 19
3PDR_A 0.69 0.64 0.74 32 4797 13 3 8 2 18
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

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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 102
Total TN 77545
Total FP 78
Total FP CONTRA 17
Total FP INCONS 51
Total FP COMP 10
Total FN 473
Total Scores
MCC 0.324
Average MCC ± 95% Confidence Intervals 0.291 ± 0.143
Sensitivity 0.177
Positive Predictive Value 0.600
Nr of predictions 19

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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
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IYQ_A 0.16 0.10 0.26 5 22421 21 10 4 7 46
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
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
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12

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