Skip to main content

Table 2 The minet algorithm

From: Unraveling gene regulatory networks from time-resolved gene expression data -- a measures comparison study

PARAMETER (MINET) AUC(ROC) YOUDEN AUC(PvsR)
clr, mi.empirical, equalfreq 0.80 0.54 0.05
clr, mi.empirical, equalwidth 0.76 0.45 0.04
clr, mi.mm, equalfreq 0.80 0.54 0.05
clr, mi.mm, equalwidth 0.76 0.48 0.04
clr, mi.shrink, equalfreq 0.80 0.53 0.05
clr, mi.shrink, equalwidth 0.74 0.41 0.04
clr, mi.sg, equalfreq 0.80 0.54 0.05
clr, mi.sg, equalwidth 0.74 0.42 0.04
clr, pearson, none 0.78 0.49 0.05
clr, spearman, none 0.80 0.53 0.05
clr, kendall, none 0.80 0.53 0.05
mrnet, mi.empirical, equalfreq 0.82 0.59 0.04
mrnet, mi.empirical, equalwidth 0.76 0.47 0.05
mrnet, mi.mm, equalfreq 0.81 0.57 0.04
mrnet, mi.mm, equalwidth 0.77 0.46 0.05
mrnet, mi.shrink, equalfreq 0.81 0.57 0.04
mrnet, mi.shrink, equalwidth 0.73 0.39 0.04
mrnet, mi.sg, equalfreq 0.81 0.57 0.04
mrnet, mi.sg, equalwidth 0.77 0.47 0.06
mrnet, pearson, none 0.78 0.49 0.04
mrnet, spearman, none 0.82 0.58 0.03
mrnet, kendall, none 0.81 0.56 0.03
aracne, mi.empirical, equalfreq 0.76 0.52 0.01
aracne, mi.empirical, equalwidth 0.54 0.12 0.02
aracne, mi.mm, equalfreq 0.76 0.52 0.01
aracne, mi.mm, equalwidth 0.54 0.12 0.02
aracne, mi.shrink, equalfreq 0.76 0.52 0.01
aracne, mi.shrink, equalwidth 0.55 0.14 0.02
aracne, mi.sg, equalfreq 0.76 0.52 0.01
aracne, mi.sg, equalwidth 0.54 0.12 0.02
aracne, pearson, none 0.54 0.07 0.03
aracne, spearman, none 0.76 0.52 0.01
aracne, kendall, none 0.76 0.52 0.01
  1. Overview on the results of the summary statistics from the ROC analysis for the different parameter (implemented scoring schemes and measures for noise level 0.0) in the minet package.