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 0.639 > 0.562
Average MCC ± 95% Confidence Intervals 0.613 ± 0.127 > 0.533 ± 0.131
Sensitivity 0.603 > 0.600
Positive Predictive Value 0.682 > 0.532
Total TP 279 > 278
Total TN 62595 > 62481
Total FP 199 < 328
Total FP CONTRA 63 < 92
Total FP INCONS 67 < 153
Total FP COMP 69 < 83
Total FN 184 < 185
P-value 2.54914456376e-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 279
Total TN 62595
Total FP 199
Total FP CONTRA 63
Total FP INCONS 67
Total FP COMP 69
Total FN 184
Total Scores
MCC 0.639
Average MCC ± 95% Confidence Intervals 0.613 ± 0.127
Sensitivity 0.603
Positive Predictive Value 0.682
Nr of predictions 16

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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
3IZ4_A 0.58 0.54 0.63 51 25455 35 18 12 5 44
3J20_0 0.93 0.90 0.95 19 1199 1 1 0 0 2
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 0.21 0.20 0.23 3 2729 15 4 6 5 12
3J3F_8 0.48 0.53 0.43 10 4738 29 7 6 16 9
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
3ZEX_C 0.35 0.31 0.41 9 5352 15 3 10 2 20
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
4FRG_B 0.65 0.58 0.74 14 1183 6 2 3 1 10

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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 278
Total TN 62481
Total FP 328
Total FP CONTRA 92
Total FP INCONS 153
Total FP COMP 83
Total FN 185
Total Scores
MCC 0.562
Average MCC ± 95% Confidence Intervals 0.533 ± 0.131
Sensitivity 0.600
Positive Predictive Value 0.532
Nr of predictions 16

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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
3IZ4_A 0.59 0.61 0.57 58 25435 49 17 26 6 37
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J3D_C 0.46 0.53 0.42 10 944 14 6 8 0 9
3J3E_8 -0.01 0.00 0.00 0 2718 37 6 18 13 15
3J3F_8 0.39 0.47 0.33 9 4734 38 9 9 20 10
3NPB_A 0.79 0.73 0.87 27 2247 9 0 4 5 10
3O58_3 0.38 0.50 0.29 11 4726 42 10 17 15 11
3PDR_A 0.88 0.92 0.85 46 4786 10 5 3 2 4
3RKF_A 0.87 0.83 0.91 20 844 2 2 0 0 4
3SD1_A 0.66 0.69 0.65 20 1502 11 6 5 0 9
3ZEX_C 0.48 0.52 0.45 15 5341 22 4 14 4 14
4A1C_2 0.17 0.25 0.13 5 4477 49 13 21 15 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.81 0.73 0.92 11 460 1 1 0 0 4
4ENC_A 0.52 0.53 0.53 8 481 8 0 7 1 7
4FRG_B 0.38 0.38 0.41 9 1180 13 6 7 0 15

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