get_fold_change: Raw log2 fold change value between two samples as log2(s2/s1)

In lakhanp1/chipmine: Analyze ChIP-seq Data

Description

For each sample, any value less than 1 is set to 1 to avoid negative log2 value.

Usage

get_fold_change(
  df,
  nmt,
  dmt,
  newCol = "lfc",
  isExpressedCols = NULL,
  lfcLimit = 0
)

Arguments

df	data frame
nmt	column name for sample in numerator
dmt	column name for sample in denominator
newCol	new column name for log2(nmt/dmt) values. Default: lfc
isExpressedCols	A named vector with column names for isExpressed data for both polII samples
lfcLimit	All the LFC values in range [-lfcLimit, lfcLimit] are set to 0. Default: 0 i.e. no limit

Value

dataframe with additional fold change column

Examples

NA

lakhanp1/chipmine documentation built on March 6, 2021, 9:06 a.m.