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 MCFold - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(seed) MCFold
MCC 0.665 > 0.448
Average MCC ± 95% Confidence Intervals 0.632 ± 0.093 > 0.457 ± 0.091
Sensitivity 0.549 > 0.472
Positive Predictive Value 0.810 > 0.433
Total TP 491 > 422
Total TN 126093 > 125725
Total FP 173 < 603
Total FP CONTRA 23 < 82
Total FP INCONS 92 < 470
Total FP COMP 58 > 51
Total FN 404 < 473
P-value 5.19332990918e-08

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Performance plots


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

  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 MCFold).

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

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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 491
Total TN 126093
Total FP 173
Total FP CONTRA 23
Total FP INCONS 92
Total FP COMP 58
Total FN 404
Total Scores
MCC 0.665
Average MCC ± 95% Confidence Intervals 0.632 ± 0.093
Sensitivity 0.549
Positive Predictive Value 0.810
Nr of predictions 28

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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
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2KX8_A -0.01 0.00 0.00 0 859 2 0 2 0 18
2LC8_A -0.01 0.00 0.00 0 1530 12 0 10 2 20
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2WWQ_V 0.56 0.46 0.68 13 2907 7 0 6 1 15
2XQD_Y 0.77 0.67 0.90 18 2830 2 0 2 0 9
2ZZN_D 0.86 0.74 1.00 20 2465 0 0 0 0 7
3A2K_C 0.84 0.71 1.00 20 2906 0 0 0 0 8
3A3A_A 0.77 0.65 0.92 24 3629 3 0 2 1 13
3AKZ_H 0.86 0.75 1.00 21 2680 0 0 0 0 7
3AMU_B 0.84 0.70 1.00 19 2984 1 0 0 1 8
3GX2_A 0.70 0.60 0.83 24 4342 6 0 5 1 16
3IVN_B 0.65 0.45 0.93 14 2331 1 1 0 0 17
3IZF_C 0.67 0.57 0.79 31 6864 9 1 7 1 23
3J16_L 0.82 0.67 1.00 20 2755 0 0 0 0 10
3JYV_7 0.79 0.63 1.00 20 2830 0 0 0 0 12
3JYX_4 0.38 0.30 0.48 10 12225 21 3 8 10 23
3JYX_3 0.58 0.56 0.60 15 6303 21 1 9 11 12
3LA5_A 0.75 0.56 1.00 19 2466 0 0 0 0 15
3O58_3 0.45 0.34 0.60 12 12383 19 2 6 11 23
3O58_2 0.79 0.79 0.79 30 7222 10 4 4 2 8
3PDR_A 0.73 0.63 0.87 45 12828 9 2 5 2 27
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 1 7 0 19
4A1C_2 0.35 0.24 0.50 8 11765 20 1 7 12 25
4A1C_3 0.75 0.65 0.88 35 7100 5 1 4 0 19
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 1 3 0 13

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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 422
Total TN 125725
Total FP 603
Total FP CONTRA 82
Total FP INCONS 470
Total FP COMP 51
Total FN 473
Total Scores
MCC 0.448
Average MCC ± 95% Confidence Intervals 0.457 ± 0.091
Sensitivity 0.472
Positive Predictive Value 0.433
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 1 0 0 1 1
2KX8_A 0.91 0.89 0.94 16 844 2 0 1 1 2
2LC8_A 0.41 0.45 0.39 9 1517 16 0 14 2 11
2WRQ_Y 0.27 0.35 0.22 6 2823 25 8 13 4 11
2WWQ_V 0.15 0.18 0.15 5 2892 30 4 25 1 23
2XQD_Y 0.34 0.37 0.32 10 2819 22 1 20 1 17
2ZZN_D 0.61 0.63 0.61 17 2457 13 1 10 2 10
3A2K_C 0.44 0.46 0.42 13 2895 18 2 16 0 15
3A3A_A 0.89 0.86 0.91 32 3620 3 1 2 0 5
3AKZ_H 0.40 0.43 0.39 12 2670 19 3 16 0 16
3AMU_B 0.44 0.48 0.42 13 2972 18 2 16 0 14
3GX2_A 0.47 0.48 0.48 19 4331 22 0 21 1 21
3IVN_B 0.39 0.39 0.40 12 2316 18 0 18 0 19
3IZF_C 0.71 0.69 0.74 37 6853 14 0 13 1 17
3J16_L 0.45 0.47 0.44 14 2743 19 1 17 1 16
3JYV_7 0.21 0.22 0.21 7 2817 26 0 26 0 25
3JYX_4 0.20 0.24 0.17 8 12199 43 16 23 4 25
3JYX_3 0.41 0.52 0.33 14 6285 34 12 17 5 13
3LA5_A 0.32 0.32 0.34 11 2453 21 1 20 0 23
3O58_3 0.22 0.26 0.19 9 12355 45 9 30 6 26
3O58_2 0.20 0.24 0.17 9 7208 44 5 38 1 29
3PDR_A 0.66 0.61 0.72 44 12819 19 0 17 2 28
3RKF_A 0.70 0.65 0.76 22 2182 7 1 6 0 12
3SD1_A 0.33 0.33 0.35 14 3876 26 0 26 0 28
4A1C_2 0.13 0.15 0.11 5 11735 56 10 31 15 28
4A1C_3 0.68 0.67 0.71 36 7089 17 1 14 2 18
4ENB_A 0.61 0.63 0.60 12 1255 8 2 6 0 7
4ENC_A 0.28 0.32 0.27 6 1304 17 2 14 1 13

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