CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(20) - scored higher in this pairwise comparison

  4. Performance of Vsfold5 - scored lower in this pairwise comparison

  5. Compile and download dataset for Murlet(20) & Vsfold5 [.zip] - may take several seconds...


Overview

Metric Murlet(20) Vsfold5
MCC 0.637 > 0.493
Average MCC ± 95% Confidence Intervals 0.638 ± 0.105 > 0.526 ± 0.156
Sensitivity 0.538 > 0.493
Positive Predictive Value 0.760 > 0.502
Total TP 297 > 272
Total TN 62764 > 62613
Total FP 126 < 334
Total FP CONTRA 26 < 84
Total FP INCONS 68 < 186
Total FP COMP 32 < 64
Total FN 255 < 280
P-value 4.89920829651e-08

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Performance plots


  1. Comparison of performance of Murlet(20) and Vsfold5. 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 Murlet(20) and Vsfold5).

  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 Murlet(20) and Vsfold5).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) and Vsfold5. 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 Murlet(20) and Vsfold5).

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Performance of Murlet(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 297
Total TN 62764
Total FP 126
Total FP CONTRA 26
Total FP INCONS 68
Total FP COMP 32
Total FN 255
Total Scores
MCC 0.637
Average MCC ± 95% Confidence Intervals 0.638 ± 0.105
Sensitivity 0.538
Positive Predictive Value 0.760
Nr of predictions 20

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3GX2_A 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3J20_0 0.65 0.62 0.68 13 1200 6 1 5 0 8
3J3D_C 0.84 0.84 0.84 16 949 3 3 0 0 3
3J3E_8 0.35 0.33 0.38 5 2729 13 2 6 5 10
3J3F_8 0.54 0.53 0.56 10 4743 13 2 6 5 9
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10
4FRG_B 0.19 0.17 0.25 4 1186 12 1 11 0 20

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Performance of Vsfold5 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold5

Total Base Pair Counts
Total TP 272
Total TN 62613
Total FP 334
Total FP CONTRA 84
Total FP INCONS 186
Total FP COMP 64
Total FN 280
Total Scores
MCC 0.493
Average MCC ± 95% Confidence Intervals 0.526 ± 0.156
Sensitivity 0.493
Positive Predictive Value 0.502
Nr of predictions 20

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2. Individual counts for Vsfold5 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3GX2_A 0.61 0.57 0.67 16 1425 9 0 8 1 12
3IVN_B 0.88 0.78 1.00 18 885 0 0 0 0 5
3IZ4_A 0.31 0.31 0.33 29 25448 65 14 45 6 66
3J20_0 0.76 0.76 0.76 16 1198 6 3 2 1 5
3J3D_C 0.63 0.68 0.59 13 946 9 3 6 0 6
3J3E_8 0.10 0.13 0.08 2 2718 31 10 12 9 13
3J3F_8 0.36 0.47 0.27 9 4728 38 13 11 14 10
3JYV_7 -0.02 0.00 0.00 0 1092 19 4 15 0 20
3LA5_A -0.02 0.00 0.00 0 938 16 0 16 0 25
3NPB_A 0.62 0.54 0.71 20 2250 10 1 7 2 17
3O58_3 0.51 0.59 0.45 13 4735 28 11 5 12 9
3PDR_A 0.69 0.64 0.74 32 4797 13 3 8 2 18
3RKF_A 0.90 0.92 0.88 22 841 3 3 0 0 2
3SD1_A 0.13 0.14 0.15 4 1507 22 5 17 0 25
4A1C_2 0.33 0.40 0.28 8 4487 37 8 13 16 12
4AOB_A 0.21 0.21 0.25 6 1413 19 2 16 1 23
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.60 0.58 0.64 14 1180 8 3 5 0 10

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