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Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidFold RSpredict(seed)
MCC 0.675 > 0.324
Average MCC ± 95% Confidence Intervals 0.720 ± 0.117 > 0.291 ± 0.143
Sensitivity 0.675 > 0.177
Positive Predictive Value 0.681 > 0.600
Total TP 388 > 102
Total TN 77145 < 77545
Total FP 225 > 78
Total FP CONTRA 81 > 17
Total FP INCONS 101 > 51
Total FP COMP 43 > 10
Total FN 187 < 473
P-value 3.36130997681e-08

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Performance plots


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

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

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Performance of CentroidFold - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 388
Total TN 77145
Total FP 225
Total FP CONTRA 81
Total FP INCONS 101
Total FP COMP 43
Total FN 187
Total Scores
MCC 0.675
Average MCC ± 95% Confidence Intervals 0.720 ± 0.117
Sensitivity 0.675
Positive Predictive Value 0.681
Nr of predictions 19

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.51 0.39 0.70 7 518 3 1 2 0 11
2ZZN_D 0.93 0.95 0.91 21 961 3 2 0 1 1
3A2K_C 0.49 0.55 0.46 12 1082 14 3 11 0 10
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3GX2_A 0.94 0.89 1.00 25 1424 1 0 0 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.29 0.39 0.22 20 22347 86 39 34 13 31
3IZ4_A 0.60 0.57 0.64 54 25451 38 16 15 7 41
3JYV_7 0.92 0.85 1.00 17 1094 2 0 0 2 3
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.87 0.84 0.91 31 2244 8 1 2 5 6
3O58_3 0.44 0.41 0.47 9 4745 11 1 9 1 13
3PDR_A 0.88 0.86 0.90 43 4792 7 2 3 2 7
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.70 0.69 0.71 20 1505 8 4 4 0 9
4A1C_2 0.22 0.25 0.19 5 4490 29 9 12 8 15
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 1 0 0 1 4
4ENC_A 0.85 0.73 1.00 11 485 1 0 0 1 4

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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.