normalizeTable: Normalize a Standalone Abundance Table

View source: R/normalization.R

normalizeTableR Documentation

Normalize a Standalone Abundance Table

Description

Normalize a Standalone Abundance Table

Usage

normalizeTable(
  abundance_table,
  sample_scale = NULL,
  feature_scale = NULL,
  transformation = NULL,
  sum_scale = 1e+06,
  log_base = 10,
  silent = F
)

Arguments

abundance_table

Abundance table with samples as rows and features as columns

sample_scale

Sample scaling method to be used. Choices are "sum", "none", "relative", "median", "range", "centered", and "standardized". Default is "sum".

feature_scale

Feature scaling method to be used. Choices are "sum", "none", "relative", "median", "range", "centered", and "standardized". Default is "sum".

transformation

Transformation method to be used. Choices are "glog" (generalized log), "none", "pseudolog", and "log".

sum_scale

Number to scale samples/features by. Default is 1 million.

log_base

Base for log transformations. Default is 10

silent

Argument that is ultimately passed onto runSampleFilter(), runNormalization(), and runFeatureFilter(), telling them not to output any messages.

Value

Normalized abundance table.


microresearcher/MicroVis documentation built on Feb. 8, 2024, 10:59 a.m.