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

  1. Overview

  2. Performance Plots

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

  4. Performance of MXScarna(20) - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(seed) MXScarna(20)
MCC 0.751 > 0.703
Average MCC ± 95% Confidence Intervals 0.728 ± 0.091 > 0.698 ± 0.114
Sensitivity 0.692 > 0.659
Positive Predictive Value 0.820 > 0.755
Total TP 314 > 299
Total TN 51880 > 51867
Total FP 119 < 147
Total FP CONTRA 39 < 49
Total FP INCONS 30 < 48
Total FP COMP 50 = 50
Total FN 140 < 155
P-value 1.40919803867e-08

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Performance plots


  1. Comparison of performance of MXScarna(seed) and MXScarna(20). 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 MXScarna(seed) and MXScarna(20)).

  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 MXScarna(seed) and MXScarna(20)).

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

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

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

Total Base Pair Counts
Total TP 314
Total TN 51880
Total FP 119
Total FP CONTRA 39
Total FP INCONS 30
Total FP COMP 50
Total FN 140
Total Scores
MCC 0.751
Average MCC ± 95% Confidence Intervals 0.728 ± 0.091
Sensitivity 0.692
Positive Predictive Value 0.820
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3GX2_A 0.83 0.82 0.85 23 1422 7 2 2 3 5
3IVN_B 0.69 0.57 0.87 13 888 2 2 0 0 10
3IZ4_A 0.73 0.64 0.82 61 25462 22 12 1 9 34
3JYV_7 0.95 0.90 1.00 18 1093 2 0 0 2 2
3LA5_A 0.82 0.72 0.95 18 935 1 1 0 0 7
3NPB_A 0.76 0.70 0.84 26 2247 10 2 3 5 11
3O58_3 0.54 0.50 0.58 11 4745 20 5 3 12 11
3PDR_A 0.87 0.88 0.86 44 4789 10 4 3 3 6
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3SD1_A 0.74 0.76 0.73 22 1503 9 4 4 1 7
4A1C_2 0.45 0.40 0.50 8 4500 20 4 4 12 12
4AOB_A 0.71 0.69 0.74 20 1410 10 2 5 3 9
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 1 3 0 9

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Performance of MXScarna(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 299
Total TN 51867
Total FP 147
Total FP CONTRA 49
Total FP INCONS 48
Total FP COMP 50
Total FN 155
Total Scores
MCC 0.703
Average MCC ± 95% Confidence Intervals 0.698 ± 0.114
Sensitivity 0.659
Positive Predictive Value 0.755
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.74 0.73 0.76 16 1087 6 1 4 1 6
3GX2_A 0.81 0.79 0.85 22 1423 6 2 2 2 6
3IVN_B 0.81 0.74 0.89 17 884 2 2 0 0 6
3IZ4_A 0.58 0.54 0.63 51 25455 35 18 12 5 44
3JYV_7 0.95 0.90 1.00 18 1093 2 0 0 2 2
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.77 0.73 0.82 27 2245 9 2 4 3 10
3O58_3 0.62 0.59 0.65 13 4744 18 5 2 11 9
3PDR_A 0.85 0.82 0.89 41 4794 9 2 3 4 9
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3SD1_A 0.74 0.76 0.73 22 1503 9 6 2 1 7
4A1C_2 0.22 0.25 0.21 5 4492 36 8 11 17 15
4AOB_A 0.68 0.69 0.69 20 1408 13 2 7 4 9
4ENB_A 0.29 0.13 0.67 2 469 1 0 1 0 13
4ENC_A 0.68 0.47 1.00 7 489 0 0 0 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.