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

  1. Overview

  2. Performance Plots

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

  4. Performance of Vsfold4 - scored lower in this pairwise comparison

  5. Compile and download dataset for RNAsubopt & Vsfold4 [.zip] - may take several seconds...


Overview

Metric RNAsubopt Vsfold4
MCC 0.591 > 0.559
Average MCC ± 95% Confidence Intervals 0.583 ± 0.119 < 0.610 ± 0.121
Sensitivity 0.615 > 0.554
Positive Predictive Value 0.574 > 0.572
Total TP 451 > 406
Total TN 85176 < 85252
Total FP 404 > 356
Total FP CONTRA 126 > 94
Total FP INCONS 209 < 210
Total FP COMP 69 > 52
Total FN 282 < 327
P-value 5.10776592382e-08

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Performance plots


  1. Comparison of performance of RNAsubopt 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 RNAsubopt 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 RNAsubopt and Vsfold4).

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

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Performance of RNAsubopt - scored higher in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 451
Total TN 85176
Total FP 404
Total FP CONTRA 126
Total FP INCONS 209
Total FP COMP 69
Total FN 282
Total Scores
MCC 0.591
Average MCC ± 95% Confidence Intervals 0.583 ± 0.119
Sensitivity 0.615
Positive Predictive Value 0.574
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KFC_A - -0.03 0.00 0.00 0 229 7 1 6 0 8
2KRL_A - 0.62 0.61 0.64 14 2002 15 5 3 7 9
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
2RP0_A - 0.84 0.71 1.00 5 111 0 0 0 0 2
2ZZN_D 0.52 0.55 0.52 12 961 11 3 8 0 10
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3ADB_C - 0.98 0.97 1.00 32 1787 0 0 0 0 1
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
3GX2_A 0.53 0.54 0.54 15 1421 14 4 9 1 13
3IVN_B 0.88 0.78 1.00 18 885 0 0 0 0 5
3IWN_A 0.69 0.68 0.70 19 1445 9 1 7 1 9
3IYQ_A 0.28 0.39 0.20 20 22342 96 41 37 18 31
3IZ4_A 0.56 0.60 0.53 57 25429 54 26 24 4 38
3J0L_a - 0.35 0.36 0.36 4 400 8 3 4 1 7
3JYV_7 -0.02 0.00 0.00 0 1090 21 4 17 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NKB_B - 0.66 0.68 0.65 13 715 7 0 7 0 6
3NPB_A 0.84 0.78 0.91 29 2246 8 0 3 5 8
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
4A1C_2 0.18 0.25 0.14 5 4481 43 13 17 13 15
4AOB_A 0.62 0.62 0.64 18 1409 11 4 6 1 11
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.36 0.33 0.42 5 484 7 0 7 0 10

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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 406
Total TN 85252
Total FP 356
Total FP CONTRA 94
Total FP INCONS 210
Total FP COMP 52
Total FN 327
Total Scores
MCC 0.559
Average MCC ± 95% Confidence Intervals 0.610 ± 0.121
Sensitivity 0.554
Positive Predictive Value 0.572
Nr of predictions 28

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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
2KFC_A - 0.79 0.63 1.00 5 231 0 0 0 0 3
2KRL_A - 0.84 0.83 0.86 19 2002 9 2 1 6 4
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2RP0_A - 0.84 0.71 1.00 5 111 0 0 0 0 2
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
3ADB_C - 0.95 0.91 1.00 30 1789 0 0 0 0 3
3GCA_A - 0.84 0.71 1.00 5 153 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
3IWN_A 0.28 0.25 0.35 7 1452 13 2 11 0 21
3IYQ_A 0.27 0.35 0.21 18 22353 80 40 29 11 33
3IZ4_A 0.39 0.39 0.39 37 25441 63 15 43 5 58
3J0L_a - 0.39 0.36 0.44 4 402 6 4 1 1 7
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
3NKB_B - 0.69 0.74 0.67 14 714 7 0 7 0 5
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
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
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

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