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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