quantNorm: Quantile normalise a data frame

In roonysgalbi/tispec: Calculates tissue specificity from RNA-seq data

Description

This function quantile normalises the entire data frame of log normalised counts, allowing comparisons across tissues. First, the row and column names are collected and all zeros are changed to NA. After converting to a matrix, the data frame is quantile normalised. Finally, all NAs are reverted back to zero, the matrix is converted back to a data frame and row and column names are re-attached

Usage

quantNorm(x)

Arguments

x	log transformed data frame of mean expression (cells) of genes (rows) in tissues (columns)

Value

Returns a data frame of equal dimensions with quantile normalised counts across all columns

Examples

head(log2Exp)
qnExp <- quantNorm(log2Exp)
head(qnExp)

roonysgalbi/tispec documentation built on May 26, 2019, 1:33 a.m.