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 IPknot - scored higher in this pairwise comparison

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

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


Overview

Metric IPknot RNASampler(seed)
MCC 0.598 > 0.497
Average MCC ± 95% Confidence Intervals 0.561 ± 0.265 > 0.476 ± 0.217
Sensitivity 0.583 > 0.412
Positive Predictive Value 0.621 > 0.608
Total TP 123 > 87
Total TN 23193 < 23248
Total FP 111 > 86
Total FP CONTRA 27 > 16
Total FP INCONS 48 > 40
Total FP COMP 36 > 30
Total FN 88 < 124
P-value 0.0

^top




Performance plots


  1. Comparison of performance of IPknot and RNASampler(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 IPknot and RNASampler(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 IPknot and RNASampler(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for IPknot and RNASampler(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 IPknot and RNASampler(seed)).

^top





Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 123
Total TN 23193
Total FP 111
Total FP CONTRA 27
Total FP INCONS 48
Total FP COMP 36
Total FN 88
Total Scores
MCC 0.598
Average MCC ± 95% Confidence Intervals 0.561 ± 0.265
Sensitivity 0.583
Positive Predictive Value 0.621
Nr of predictions 9

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.41 0.33 0.55 6 517 5 1 4 0 12
3J3E_8 -0.01 0.00 0.00 0 2723 25 5 14 6 15
3J3F_8 0.36 0.47 0.28 9 4729 40 11 12 17 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.74 0.69 0.80 20 1508 5 0 5 0 9
3W3S_B 0.94 0.91 0.97 30 1958 2 0 1 1 3
3ZEX_C 0.51 0.34 0.77 10 5361 7 1 2 4 19
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
4JF2_A 0.96 0.96 0.96 23 1058 1 1 0 0 1

^top



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

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

Total Base Pair Counts
Total TP 87
Total TN 23248
Total FP 86
Total FP CONTRA 16
Total FP INCONS 40
Total FP COMP 30
Total FN 124
Total Scores
MCC 0.497
Average MCC ± 95% Confidence Intervals 0.476 ± 0.217
Sensitivity 0.412
Positive Predictive Value 0.608
Nr of predictions 9

^top



2. Individual counts for RNASampler(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 0 518 10 0 10 0 18
3J3E_8 0.18 0.20 0.18 3 2725 22 5 9 8 12
3J3F_8 0.47 0.47 0.47 9 4742 18 5 5 8 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
3W3S_B 0.60 0.36 1.00 12 1977 1 0 0 1 21
3ZEX_C 0.39 0.31 0.50 9 5356 14 2 7 5 20
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12
4JF2_A 0.64 0.42 1.00 10 1072 0 0 0 0 14

^top


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