getCandidates-VarianceFilter-method: Get candidate genes using the variance filter

In PriceLab/trena-until-01mar2018: Fit transcriptional regulatory networks using gene expression, priors, machine learning

Description

Get candidate genes using the variance filter

Usage

## S4 method for signature 'VarianceFilter'
getCandidates(obj)

Arguments

obj	An object of class VarianceFilter

Value

A vector containing all genes with variances less than the target gene

See Also

VarianceFilter

Other getCandidate Methods: getCandidates,FootprintFilter-method, getCandidates,GeneOntologyFilter-method, getCandidates,HumanDHSFilter-method, getCandidates

Examples

# Using the included Alzheimer's dataset, filter out only those transcription factors with variance
# within 50% of the variance of MEF2C
load(system.file(package="trena", "extdata/ampAD.154genes.mef2cTFs.278samples.RData"))
variance.filter <- VarianceFilter(mtx.assay = mtx.sub, targetGene = "MEF2C")
tfs <- getCandidates(variance.filter)

PriceLab/trena-until-01mar2018 documentation built on May 25, 2019, 1:22 p.m.