basic_rank_norm: Basic rank normalization of a gene expression matrix

In fossbert/binilib: Carlo's little helper

Description

Basic rank normalization of a gene expression matrix

Usage

basic_rank_norm(counts, tpm = FALSE, pmOne = TRUE, gausstrans = FALSE, ...)

Arguments

counts	Matrix containing raw read counts (generally).
tpm	logical, adjust for gene length before rank transformation
pmOne	logical, whether to rescale values so they are distributed between -1 and +1
gausstrans	logical, whether to rescale the values to quantiles of the gaussian distribution
...	further arguments passed to the tpm function

Value

basic rank normalized matrix.

fossbert/binilib documentation built on April 23, 2021, 10:31 p.m.