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 CentroidAlifold(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric CentroidAlifold(seed) RNAalifold(seed)
MCC 0.753 > 0.634
Average MCC ± 95% Confidence Intervals 0.739 ± 0.126 > 0.634 ± 0.121
Sensitivity 0.640 > 0.479
Positive Predictive Value 0.889 > 0.842
Total TP 327 > 245
Total TN 74144 < 74221
Total FP 67 > 62
Total FP CONTRA 36 > 25
Total FP INCONS 5 < 21
Total FP COMP 26 > 16
Total FN 184 < 266
P-value 2.36983135185e-08

^top




Performance plots


  1. Comparison of performance of CentroidAlifold(seed) and RNAalifold(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 CentroidAlifold(seed) and RNAalifold(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 CentroidAlifold(seed) and RNAalifold(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(seed) and RNAalifold(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 CentroidAlifold(seed) and RNAalifold(seed)).

^top





Performance of CentroidAlifold(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidAlifold(seed)

Total Base Pair Counts
Total TP 327
Total TN 74144
Total FP 67
Total FP CONTRA 36
Total FP INCONS 5
Total FP COMP 26
Total FN 184
Total Scores
MCC 0.753
Average MCC ± 95% Confidence Intervals 0.739 ± 0.126
Sensitivity 0.640
Positive Predictive Value 0.889
Nr of predictions 16

^top



2. Individual counts for CentroidAlifold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.00 0.00 0.00 0 528 0 0 0 0 18
3A3A_A 0.95 0.90 1.00 27 1473 0 0 0 0 3
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3IYQ_A 0.56 0.55 0.57 28 22391 30 19 2 9 23
3IZ4_A 0.58 0.43 0.77 41 25483 17 12 0 5 54
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.79 0.65 0.96 24 2253 5 0 1 4 13
3O58_3 0.68 0.50 0.92 11 4752 2 1 0 1 11
3PDR_A 0.93 0.88 0.98 44 4795 3 0 1 2 6
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
4A1C_2 0.60 0.40 0.89 8 4507 3 1 0 2 12
4AOB_A 0.89 0.79 1.00 23 1414 2 0 0 2 6
4ENB_A 0.72 0.53 1.00 8 464 0 0 0 0 7
4ENC_A 0.73 0.53 1.00 8 488 0 0 0 0 7

^top



Performance of RNAalifold(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RNAalifold(seed)

Total Base Pair Counts
Total TP 245
Total TN 74221
Total FP 62
Total FP CONTRA 25
Total FP INCONS 21
Total FP COMP 16
Total FN 266
Total Scores
MCC 0.634
Average MCC ± 95% Confidence Intervals 0.634 ± 0.121
Sensitivity 0.479
Positive Predictive Value 0.842
Nr of predictions 16

^top



2. Individual counts for RNAalifold(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 0 516 12 0 12 0 18
3A3A_A 0.79 0.63 1.00 19 1481 0 0 0 0 11
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.71 0.65 0.79 15 884 4 2 2 0 8
3IYQ_A 0.36 0.27 0.48 14 22411 19 13 2 4 37
3IZ4_A 0.46 0.26 0.81 25 25505 8 6 0 2 70
3LA5_A 0.73 0.64 0.84 16 935 3 1 2 0 9
3NPB_A 0.77 0.59 1.00 22 2256 3 0 0 3 15
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.81 0.66 1.00 33 4807 1 0 0 1 17
3RKF_A 0.74 0.67 0.84 16 847 3 1 2 0 8
3SD1_A 0.70 0.59 0.85 17 1513 3 2 1 0 12
4A1C_2 0.50 0.25 1.00 5 4511 2 0 0 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9

^top


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