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 RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(20) RSpredict(seed)
MCC 0.760 > 0.298
Average MCC ± 95% Confidence Intervals 0.766 ± 0.076 > 0.246 ± 0.122
Sensitivity 0.726 > 0.156
Positive Predictive Value 0.800 > 0.582
Total TP 513 > 110
Total TN 74762 < 75214
Total FP 272 > 89
Total FP CONTRA 54 > 14
Total FP INCONS 74 > 65
Total FP COMP 144 > 10
Total FN 194 < 597
P-value 5.1503931209e-08

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Performance plots


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

  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 RSpredict(seed)).

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

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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 513
Total TN 74762
Total FP 272
Total FP CONTRA 54
Total FP INCONS 74
Total FP COMP 144
Total FN 194
Total Scores
MCC 0.760
Average MCC ± 95% Confidence Intervals 0.766 ± 0.076
Sensitivity 0.726
Positive Predictive Value 0.800
Nr of predictions 27

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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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 0.73 0.72 0.76 13 340 5 0 4 1 5
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.88 0.86 0.91 30 2012 4 0 3 1 5
3A2K_C 0.74 0.73 0.76 16 1087 6 1 4 1 6
3AMU_B 1.00 1.00 1.00 19 1138 3 0 0 3 0
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
3IZF_C 0.87 0.89 0.86 31 2604 12 0 5 7 4
3JYV_7 0.95 0.90 1.00 18 1093 2 0 0 2 2
3JYX_3 0.73 0.73 0.73 11 2363 26 0 4 22 4
3JYX_4 0.70 0.83 0.59 10 4739 32 5 2 25 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_2 0.92 0.90 0.93 28 2724 13 0 2 11 3
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
4A1C_3 0.80 0.78 0.83 29 2728 12 0 6 6 8
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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Performance of RSpredict(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 110
Total TN 75214
Total FP 89
Total FP CONTRA 14
Total FP INCONS 65
Total FP COMP 10
Total FN 597
Total Scores
MCC 0.298
Average MCC ± 95% Confidence Intervals 0.246 ± 0.122
Sensitivity 0.156
Positive Predictive Value 0.582
Nr of predictions 27

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2WRQ_Y 0.00 0.00 0.00 0 1150 3 1 1 1 9
2XKV_B 0.38 0.36 0.40 4 1825 8 4 2 2 7
2XQD_Y -0.01 0.00 0.00 0 1124 5 0 5 0 21
2XXA_G 0.37 0.20 0.70 7 2035 3 0 3 0 28
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3AMU_B -0.01 0.00 0.00 0 1155 2 0 2 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3IZF_C 0.00 0.00 0.00 0 2635 5 0 5 0 35
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3JYX_3 0.00 0.00 0.00 0 2373 5 1 4 0 15
3JYX_4 0.00 0.00 0.00 0 4754 5 0 2 3 12
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_2 0.00 0.00 0.00 0 2751 3 0 3 0 31
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12

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