Description Usage Arguments Value Examples
Create a CEMiTool object
1 2 3 4 5 6 7 8 9 | new_cem(
expr = data.frame(),
sample_annot = data.frame(),
sample_name_column = "SampleName",
class_column = "Class",
filter = TRUE,
apply_vst = FALSE,
filter_pval = 0.1
)
|
expr |
Object of class |
sample_annot |
Object of |
sample_name_column |
A string specifying the column to be used as sample identification. Default: "SampleName". |
class_column |
A string specifying the column to be used as a grouping factor for samples. Default: "Class" |
filter |
Logical. Used to define if posterior functions should use filtered expression data or not (Default: TRUE) |
apply_vst |
Logical. Used to define if posterior functions should use a
variance stabilizing transformation on expression data before analyses. Only
valid if argument |
filter_pval |
logical. Threshold for filter p-value. Ignored if filter = FALSE (Default: 0.1) |
Object of class CEMiTool
1 2 3 4 5 6 7 8 9 | # Create new CEMiTool object
cem <- new_cem()
# Create new CEMiTool object with expression and sample_annotation data
data(expr0)
data(sample_annot)
cem <- new_cem(expr0, sample_annot, "SampleName", "Class")
# Equivalent to a call to new()
cem2 <- new("CEMiTool", expression=expr0, sample_annotation=sample_annot)
identical(cem, cem2)
|
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