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 Vsfold4 - scored lower in this pairwise comparison

  5. Compile and download dataset for Murlet(20) & Vsfold4 [.zip] - may take several seconds...


Overview

Metric Murlet(20) Vsfold4
MCC 0.637 > 0.537
Average MCC ± 95% Confidence Intervals 0.638 ± 0.105 > 0.566 ± 0.144
Sensitivity 0.538 > 0.531
Positive Predictive Value 0.760 > 0.551
Total TP 297 > 293
Total TN 62764 > 62623
Total FP 126 < 297
Total FP CONTRA 26 < 70
Total FP INCONS 68 < 169
Total FP COMP 32 < 58
Total FN 255 < 259
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of Murlet(20) and Vsfold4. 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 Vsfold4).

  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 Vsfold4).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) and Vsfold4. 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 Vsfold4).

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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 Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 293
Total TN 62623
Total FP 297
Total FP CONTRA 70
Total FP INCONS 169
Total FP COMP 58
Total FN 259
Total Scores
MCC 0.537
Average MCC ± 95% Confidence Intervals 0.566 ± 0.144
Sensitivity 0.531
Positive Predictive Value 0.551
Nr of predictions 20

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2. Individual counts for Vsfold4 [ 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 0.60 0.57 0.64 16 1424 10 0 9 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.39 0.39 0.39 37 25441 63 15 43 5 58
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J3D_C 0.48 0.53 0.45 10 946 12 4 8 0 9
3J3E_8 0.10 0.13 0.09 2 2720 32 9 11 12 13
3J3F_8 0.35 0.42 0.30 8 4734 30 11 8 11 11
3JYV_7 -0.02 0.00 0.00 0 1092 19 4 15 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.66 0.59 0.73 22 2248 10 0 8 2 15
3O58_3 0.12 0.14 0.11 3 4737 35 8 16 11 19
3PDR_A 0.69 0.64 0.74 32 4797 13 3 8 2 18
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.23 0.24 0.24 7 1504 22 5 17 0 22
4A1C_2 0.36 0.40 0.33 8 4492 28 4 12 12 12
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.77 0.60 1.00 9 487 0 0 0 0 6
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.