limma.differential.cv.selection | R Documentation |
Perform multiple rounds differential analysis to select stable feature
limma.differential.cv.selection(
log.df,
label,
folds = 5,
seed = 666,
n = 1000,
cores = 50,
AUC.cut.off = 0.8,
FoldC.cut.off = 1
)
log.df |
Row is gene, col is samples |
label |
Normal first |
folds |
5 |
seed |
666 |
n |
1000 |
cores |
50 |
AUC.cut.off |
0.8 |
FoldC.cut.off |
1 |
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