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(20) - scored higher in this pairwise comparison

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

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


Overview

Metric MXScarna(20) ProbKnot
MCC 0.618 > 0.597
Average MCC ± 95% Confidence Intervals 0.616 ± 0.106 > 0.609 ± 0.110
Sensitivity 0.512 < 0.536
Positive Predictive Value 0.748 > 0.669
Total TP 345 < 361
Total TN 154755 > 154676
Total FP 159 < 218
Total FP CONTRA 21 < 30
Total FP INCONS 95 < 149
Total FP COMP 43 > 39
Total FN 329 > 313
P-value 1.64481516727e-08

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Performance plots


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

  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(20) and ProbKnot).

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

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

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

Total Base Pair Counts
Total TP 345
Total TN 154755
Total FP 159
Total FP CONTRA 21
Total FP INCONS 95
Total FP COMP 43
Total FN 329
Total Scores
MCC 0.618
Average MCC ± 95% Confidence Intervals 0.616 ± 0.106
Sensitivity 0.512
Positive Predictive Value 0.748
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
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3IZ4_A 0.51 0.41 0.64 54 70791 32 7 24 1 78
3IZF_C 0.67 0.59 0.76 32 6861 11 1 9 1 22
3NPB_A 0.69 0.59 0.82 27 6988 9 1 5 3 19
3O58_3 0.52 0.40 0.67 14 12382 17 2 5 10 21
3O58_2 0.74 0.74 0.74 28 7222 13 4 6 3 10
3PDR_A 0.71 0.57 0.89 41 12834 9 0 5 4 31
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.63 0.55 0.74 23 3885 8 2 6 0 19
4A1C_2 0.18 0.15 0.21 5 11757 36 2 17 17 28
4A1C_3 0.64 0.56 0.75 30 7100 11 2 8 1 24
4AOB_A 0.62 0.55 0.72 23 4339 10 0 9 1 19
4ENB_A 0.26 0.11 0.67 2 1272 1 0 1 0 17
4ENC_A 0.60 0.37 1.00 7 1319 0 0 0 0 12

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Performance of ProbKnot - scored lower in this pairwise comparison

1. Total counts & total scores for ProbKnot

Total Base Pair Counts
Total TP 361
Total TN 154676
Total FP 218
Total FP CONTRA 30
Total FP INCONS 149
Total FP COMP 39
Total FN 313
Total Scores
MCC 0.597
Average MCC ± 95% Confidence Intervals 0.609 ± 0.110
Sensitivity 0.536
Positive Predictive Value 0.669
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2XQD_Y 0.90 0.81 1.00 22 2828 1 0 0 1 5
3AMU_B 0.65 0.59 0.73 16 2981 8 0 6 2 11
3IZ4_A 0.52 0.46 0.60 61 70774 46 6 35 5 71
3IZF_C 0.72 0.61 0.85 33 6864 6 0 6 0 21
3NPB_A 0.72 0.61 0.85 28 6988 8 1 4 3 18
3O58_3 0.31 0.34 0.29 12 12362 41 4 25 12 23
3O58_2 0.76 0.76 0.76 29 7222 10 3 6 1 9
3PDR_A 0.74 0.64 0.85 46 12826 10 1 7 2 26
3RKF_A 0.73 0.59 0.91 20 2189 2 1 1 0 14
3SD1_A 0.55 0.48 0.65 20 3885 11 2 9 0 22
4A1C_2 0.13 0.15 0.12 5 11738 49 7 31 11 28
4A1C_3 0.73 0.61 0.87 33 7102 6 1 4 1 21
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.73 0.58 0.92 11 1263 1 1 0 0 8
4ENC_A 0.45 0.42 0.50 8 1310 8 1 7 0 11

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