CompaRNA - on-line benchmarks of RNA structure prediction methods
Home

Methods
Datasets
Rankings
RNA 2D Atlas

Help
FAQ

Contact us
RSS feeds
Twitter

Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of Vsfold4 - scored higher in this pairwise comparison

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

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


Overview

Metric Vsfold4 RSpredict(seed)
MCC 0.542 > 0.293
Average MCC ± 95% Confidence Intervals 0.574 ± 0.130 > 0.236 ± 0.114
Sensitivity 0.545 > 0.159
Positive Predictive Value 0.546 < 0.550
Total TP 398 > 116
Total TN 90949 < 91467
Total FP 401 > 107
Total FP CONTRA 112 > 22
Total FP INCONS 219 > 73
Total FP COMP 70 > 12
Total FN 332 < 614
P-value 5.19332990918e-08

^top




Performance plots


  1. Comparison of performance of Vsfold4 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 Vsfold4 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 Vsfold4 and RSpredict(seed)).

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

^top





Performance of Vsfold4 - scored higher in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 398
Total TN 90949
Total FP 401
Total FP CONTRA 112
Total FP INCONS 219
Total FP COMP 70
Total FN 332
Total Scores
MCC 0.542
Average MCC ± 95% Confidence Intervals 0.574 ± 0.130
Sensitivity 0.545
Positive Predictive Value 0.546
Nr of predictions 26

^top



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
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 0.60 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
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
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
3W3S_B 0.74 0.70 0.79 23 1960 7 1 5 1 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
4FRG_B 0.60 0.58 0.64 14 1180 8 3 5 0 10
4JF2_A 0.74 0.67 0.84 16 1063 3 0 3 0 8

^top



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 91467
Total FP 107
Total FP CONTRA 22
Total FP INCONS 73
Total FP COMP 12
Total FN 614
Total Scores
MCC 0.293
Average MCC ± 95% Confidence Intervals 0.236 ± 0.114
Sensitivity 0.159
Positive Predictive Value 0.550
Nr of predictions 26

^top



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
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

^top


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