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(seed) - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(seed) RSpredict(seed)
MCC 0.739 > 0.503
Average MCC ± 95% Confidence Intervals 0.663 ± 0.091 > 0.262 ± 0.111
Sensitivity 0.698 > 0.364
Positive Predictive Value 0.784 > 0.698
Total TP 845 > 441
Total TN 520900 < 521346
Total FP 421 > 265
Total FP CONTRA 93 > 41
Total FP INCONS 140 < 150
Total FP COMP 188 > 74
Total FN 366 < 770
P-value 5.23657817852e-08

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Performance plots


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

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

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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 845
Total TN 520900
Total FP 421
Total FP CONTRA 93
Total FP INCONS 140
Total FP COMP 188
Total FN 366
Total Scores
MCC 0.739
Average MCC ± 95% Confidence Intervals 0.663 ± 0.091
Sensitivity 0.698
Positive Predictive Value 0.784
Nr of predictions 29

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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
2LC8_A -0.03 0.00 0.00 0 518 12 0 10 2 18
2ZZN_D 0.95 0.91 1.00 20 964 0 0 0 0 2
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3A3A_A 0.84 0.77 0.92 23 1475 4 0 2 2 7
3GX2_A 0.83 0.82 0.85 23 1422 7 2 2 3 5
3IVN_B 0.69 0.57 0.87 13 888 2 2 0 0 10
3IYQ_A 0.44 0.47 0.41 24 22382 49 21 13 15 27
3IZ4_A 0.73 0.64 0.82 61 25462 22 12 1 9 34
3J20_2 0.83 0.82 0.84 337 421969 147 14 48 85 75
3J20_0 0.90 0.86 0.95 18 1200 1 1 0 0 3
3J3E_8 0.23 0.20 0.27 3 2731 14 3 5 6 12
3J3F_8 0.48 0.47 0.50 9 4743 21 5 4 12 10
3JYV_7 0.95 0.90 1.00 18 1093 2 0 0 2 2
3LA5_A 0.82 0.72 0.95 18 935 1 1 0 0 7
3NPB_A 0.76 0.70 0.84 26 2247 10 2 3 5 11
3O58_3 0.54 0.50 0.58 11 4745 20 5 3 12 11
3PDR_A 0.87 0.88 0.86 44 4789 10 4 3 3 6
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 4 4 1 7
3W1K_J 0.92 0.90 0.93 28 1648 3 1 1 1 3
3W3S_B 0.74 0.70 0.79 23 1960 7 0 6 1 10
3ZEX_C 0.39 0.31 0.50 9 5356 21 3 6 12 20
4A1C_2 0.45 0.40 0.50 8 4500 20 4 4 12 12
4AOB_A 0.71 0.69 0.74 20 1410 10 2 5 3 9
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 1 3 0 9
4FRG_B 0.49 0.42 0.59 10 1185 8 2 5 1 14
4FRN_A 0.70 0.68 0.73 19 1822 7 3 4 0 9
4JF2_A 0.41 0.33 0.53 8 1067 8 1 6 1 16

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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 441
Total TN 521346
Total FP 265
Total FP CONTRA 41
Total FP INCONS 150
Total FP COMP 74
Total FN 770
Total Scores
MCC 0.503
Average MCC ± 95% Confidence Intervals 0.262 ± 0.111
Sensitivity 0.364
Positive Predictive Value 0.698
Nr of predictions 29

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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
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 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
3IYQ_A 0.16 0.10 0.26 5 22421 21 10 4 7 46
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3J20_2 0.77 0.76 0.78 312 421966 152 18 72 62 100
3J20_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
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_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
3W1K_J 0.57 0.35 0.92 11 1666 1 0 1 0 20
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
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
4FRG_B -0.01 0.00 0.00 0 1200 2 0 2 0 24
4FRN_A 0.00 0.00 0.00 0 1845 3 0 3 0 28
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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