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

  1. Overview

  2. Performance Plots

  3. Performance of Vsfold5 - scored higher in this pairwise comparison

  4. Performance of RSpredict(seed) - scored lower in this pairwise comparison

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


Overview

Metric Vsfold5 RSpredict(seed)
MCC 0.514 > 0.285
Average MCC ± 95% Confidence Intervals 0.542 ± 0.140 > 0.227 ± 0.111
Sensitivity 0.521 > 0.153
Positive Predictive Value 0.516 < 0.542
Total TP 395 > 116
Total TN 92760 < 93312
Total FP 447 > 110
Total FP CONTRA 128 > 22
Total FP INCONS 243 > 76
Total FP COMP 76 > 12
Total FN 363 < 642
P-value 5.06544643719e-08

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Performance plots


  1. Comparison of performance of Vsfold5 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 Vsfold5 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 Vsfold5 and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Vsfold5 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 Vsfold5 and RSpredict(seed)).

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Performance of Vsfold5 - scored higher in this pairwise comparison

1. Total counts & total scores for Vsfold5

Total Base Pair Counts
Total TP 395
Total TN 92760
Total FP 447
Total FP CONTRA 128
Total FP INCONS 243
Total FP COMP 76
Total FN 363
Total Scores
MCC 0.514
Average MCC ± 95% Confidence Intervals 0.542 ± 0.140
Sensitivity 0.521
Positive Predictive Value 0.516
Nr of predictions 27

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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
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2ZZN_D 0.95 0.95 0.95 21 962 1 1 0 0 1
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3A3A_A 0.95 0.90 1.00 27 1473 0 0 0 0 3
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
3IYQ_A 0.30 0.37 0.24 19 22361 71 36 24 11 32
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
3W3S_B 0.83 0.85 0.82 28 1955 7 2 4 1 5
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
4FRN_A 0.15 0.14 0.17 4 1825 19 3 16 0 24
4JF2_A 0.96 1.00 0.92 24 1056 2 2 0 0 0

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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 116
Total TN 93312
Total FP 110
Total FP CONTRA 22
Total FP INCONS 76
Total FP COMP 12
Total FN 642
Total Scores
MCC 0.285
Average MCC ± 95% Confidence Intervals 0.227 ± 0.111
Sensitivity 0.153
Positive Predictive Value 0.542
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
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_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
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
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
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.