Table 1 Average running time (seconds) of compared methods on simulation data sets. The method epiMODE could not deal with data sets with 10000 SNPs at affordable time cost
From: CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions
| Methods | TEAM | BOOST | SNPRuler | AntEpiSeeker | epiMODE | CINOEDV(P) | CINOEDV(E) |
|---|---|---|---|---|---|---|---|
| 100-SNP data sets | 13.14 | 0.36 | 1.56 | 1146.60 | 50.46 | 48.05 | 23.94 |
| 10000-SNP data sets | 41742.00 | 248.52 | 3495.60 | 6252.00 | >41742.00 | 76.38 | 4872.50 |
