quant.norm: Quantile normalization

Description Usage Arguments Value Author(s)

View source: R/quant.norm.R

Description

Quantile normalization of the bin counts. After such normalization, each sample has exactly the same global bin count distribution.

Usage

1
quant.norm(bc.df, nb.cores = 1, norm.stats.comp = TRUE)

Arguments

bc.df

a data.frame with 'chr', 'start', 'end' columns and then one column per sample with its bin counts.

nb.cores

the number of cores to use. Default is 1.

norm.stats.comp

Should some statistics on the normalized bin count be computed (mean, sd, outliers). Default is TRUE.

Value

a list with

norm.stats

a data.frame witht some metrics about the normalization of each bin (row) : coverage average and standard deviation; number of outlier samples

bc.norm

a data.frame, similar to the input 'bc.df', with the normalized bin counts.

Author(s)

Jean Monlong


jmonlong/PopSV documentation built on July 1, 2018, 10:14 p.m.