Robust Linear Regression with Median Adjustment Normalization

This method is based on robust linear regression with median adjustment. First, the median of each variable's abundance across all measured samples is subtracted from the sample's abundance values. Then, it's like the normalize_rlr() method.

Usage

normalize_rlrma(x, by = NULL)

Arguments

x

Either a glyexp_experiment object or a matrix. If a matrix, rows should be variables and columns should be samples.

by

Either a column name in sample_info (string) or a factor/vector specifying group assignments for each sample. Optional. If provided, the normalization will be performed within each group.

Value

Returns the same type as the input. If x is a glyexp_experiment, returns a glyexp_experiment with normalized expression matrix. If x is a matrix, returns a normalized matrix.