VarianceFilter-class: Create a VarianceFilter object

In TReNA: Fit transcriptional regulatory networks using gene expression, priors, machine learning

Description

A VarianceFilter object allows for filtering based on the variance of a target gene in relation to other genes in the assay matrix. Using its associated getCandidates method, a VarianceFilter object can be used to filter a list of possible transcription factors to those within a given range of the variance of a supplied target gene.

Usage

VarianceFilter(mtx.assay = matrix(), quiet = TRUE)

Arguments

mtx.assay	An assay matrix of gene expression data
quiet	A logical denoting whether or not the solver should print output

Value

A CandidateFilter class object with variance as the filtering method

An object of the VarianceFilter class

See Also

getCandidates-VarianceFilter, getFilterAssayData

Other Filtering Objects: FootprintFilter-class, NullFilter-class

Examples

load(system.file(package="TReNA", "extdata/ampAD.154genes.mef2cTFs.278samples.RData"))
variance.filter <- VarianceFilter(mtx.assay = mtx.sub)

TReNA documentation built on Nov. 17, 2017, 12:35 p.m.