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 RSpredict(20) - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(seed) RSpredict(20)
MCC 0.668 > 0.547
Average MCC ± 95% Confidence Intervals 0.656 ± 0.058 > 0.540 ± 0.098
Sensitivity 0.556 > 0.428
Positive Predictive Value 0.805 > 0.702
Total TP 561 > 432
Total TN 202028 < 202110
Total FP 208 < 217
Total FP CONTRA 28 < 42
Total FP INCONS 108 < 141
Total FP COMP 72 > 34
Total FN 448 < 577
P-value 5.06544643719e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and RSpredict(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 RSpredict(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 561
Total TN 202028
Total FP 208
Total FP CONTRA 28
Total FP INCONS 108
Total FP COMP 72
Total FN 448
Total Scores
MCC 0.668
Average MCC ± 95% Confidence Intervals 0.656 ± 0.058
Sensitivity 0.556
Positive Predictive Value 0.805
Nr of predictions 27

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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
2L94_A 0.57 0.55 0.61 11 972 7 0 7 0 9
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.59 0.55 0.65 11 4543 18 0 6 12 9
2XQD_Y 0.77 0.67 0.90 18 2830 2 0 2 0 9
2XXA_G 0.67 0.57 0.80 24 5121 7 0 6 1 18
3A2K_C 0.84 0.71 1.00 20 2906 0 0 0 0 8
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
3IZ4_A 0.69 0.55 0.88 72 70794 11 3 7 1 60
3IZF_C 0.67 0.57 0.79 31 6864 9 1 7 1 23
3JYV_7 0.79 0.63 1.00 20 2830 0 0 0 0 12
3JYX_3 0.58 0.56 0.60 15 6303 21 1 9 11 12
3JYX_4 0.38 0.30 0.48 10 12225 21 3 8 10 23
3LA5_A 0.75 0.56 1.00 19 2466 0 0 0 0 15
3NPB_A 0.69 0.59 0.82 27 6988 9 2 4 3 19
3O58_2 0.79 0.79 0.79 30 7222 10 4 4 2 8
3O58_3 0.45 0.34 0.60 12 12383 19 2 6 11 23
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
4AOB_A 0.66 0.55 0.79 23 4342 7 0 6 1 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 RSpredict(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 432
Total TN 202110
Total FP 217
Total FP CONTRA 42
Total FP INCONS 141
Total FP COMP 34
Total FN 577
Total Scores
MCC 0.547
Average MCC ± 95% Confidence Intervals 0.540 ± 0.098
Sensitivity 0.428
Positive Predictive Value 0.702
Nr of predictions 27

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2L94_A 0.55 0.50 0.63 10 974 6 0 6 0 10
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.00 0.00 0.00 0 4556 4 0 4 0 20
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.46 0.21 1.00 9 5142 0 0 0 0 33
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.61 0.41 0.92 11 2991 1 0 1 0 16
3GX2_A 0.33 0.15 0.75 6 4363 2 0 2 0 34
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZ4_A 0.53 0.43 0.65 57 70788 35 8 23 4 75
3IZF_C 0.75 0.61 0.92 33 6867 3 1 2 0 21
3JYV_7 0.77 0.63 0.95 20 2829 1 0 1 0 12
3JYX_3 0.61 0.56 0.68 15 6306 13 0 7 6 12
3JYX_4 0.28 0.27 0.30 9 12216 33 5 16 12 24
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.00 0.00 0.00 0 7015 6 1 5 0 46
3O58_2 0.76 0.76 0.76 29 7222 10 3 6 1 9
3O58_3 0.32 0.34 0.30 12 12363 28 12 16 0 23
3PDR_A 0.67 0.49 0.92 35 12842 5 0 3 2 37
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.68 0.60 0.78 25 3884 7 1 6 0 17
4A1C_2 0.19 0.18 0.20 6 11751 30 6 18 6 27
4A1C_3 0.48 0.33 0.69 18 7114 8 0 8 0 36
4AOB_A 0.28 0.14 0.55 6 4360 5 0 5 0 36
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.45 0.32 0.67 6 1317 3 0 3 0 13

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