Normalize data to cell sorting proportions

Scales the read counts in a bin to match the sort proportions given.

Usage

lilace_sorting_normalize(lilace_obj, sort_prop, rep_specific)

Arguments

lilace_obj

a lilace obj, such as created using lilace_from_counts()

sort_prop

a list of cell sorting bin proportions to normalize If replicate specific, input as list(<rep_label>=c(0.25, 0.25, 0.25, 0.25)) where <rep_label> corresponds to the lilace object replicate labels If not replicate specific, input as vector.

rep_specific

boolean indicating whether sort_prop is replicate specific or not

Value

lilace object with $normalized_data element

Examples

# Example 1 (not replicate specific)
if (FALSE) { # \dontrun{
sort_prop <- c(0.2184, 0.1972, 0.1869, 0.1236)
lilace_obj <- lilace_sorting_normalize(lilace_obj, sort_prop, rep_specific=F)
} # }

# Example 2 (replicate specific)
if (FALSE) { # \dontrun{
sort_prop=list(R1=c(0.2184, 0.1972, 0.1869, 0.1236),
               R2=c(0.25, 0.25, 0.25, 0.25),
               R3=c(0.3, 0.2, 0.3, 0.2))
lilace_obj <- lilace_sorting_normalize(lilace_obj, sort_prop, rep_specific=T)
} # }