This function can be used to add specific groupings to UMI4C objects.

addGrouping(
  umi4c,
  grouping = "sampleID",
  scales = 5:150,
  normalized = TRUE,
  sd = 2
)

Arguments

umi4c

UMI4C object as generated by makeUMI4C.

grouping

Name of the column in colData used to merge the samples or replicates. Set to NULL for skipping grouping. Default: "condition".

scales

Numeric vector containing the scales for calculating the domainogram.

normalized

Logical indicating whether UMI-4C profiles should be normalized to the ref_umi4c sample/group. Default: TRUE

sd

Stantard deviation for adaptative trend.

Value

Adds a new UMI4C object into the groupsUMI4C slot with samples grouped according to grouping variable.

Examples

data("ex_ciita_umi4c") ex_ciita_umi4c <- addGrouping(ex_ciita_umi4c, grouping="condition")