runFeatureRemover: Feature Remover

View source: R/excludeFeatures.R

runFeatureRemoverR Documentation

Feature Remover

Description

This function removes features prior to any processing and is one of the processing functions called by processDataset(). It should be used WITH CAUTION as it can drastically modify a dataset, making it completely unrepresentative if used incorrectly.

Usage

runFeatureRemover(dataset = NULL, temp = F, silent = F)

Arguments

dataset

MicroVis dataset (mvdata object)

temp

This parameter has no use in this function and can be removed

silent

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

Value

MicroVis dataset (mvdata object) with features filtered out based on parameters set by the filter___ feature filtering functions


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