getAssayData: Retrieve the assay matrix of gene expression data from a...
In PriceLab/trena-until-01mar2018: Fit transcriptional regulatory networks using gene expression, priors, machine learning
Description
Usage
Arguments
Value
Examples
Description
Retrieve the assay matrix of gene expression data from a Solver object
Usage
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## S4 method for signature 'Solver'
getAssayData(obj)
Arguments
obj
An object of class Solver
Value
The assay matrix of gene expression data associated with a Solver object
Examples
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# Create a Solver object using the included Alzheimer's data and retrieve the matrix
load(system.file(package="trena", "extdata/ampAD.154genes.mef2cTFs.278samples.RData"))
targetGene <- "MEF2C"
candidateRegulators <- setdiff(rownames(mtx.sub), targetGene)
solver <- Solver(mtx.sub, targetGene, candidateRegulators)
mtx <- getAssayData(solver)
PriceLab/trena-until-01mar2018 documentation built on May 25, 2019, 1:22 p.m.
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Description Usage Arguments Value Examples
Description
Retrieve the assay matrix of gene expression data from a Solver object
Usage
1 2 | ## S4 method for signature 'Solver'
getAssayData(obj)
|
Arguments
obj |
An object of class Solver |
Value
The assay matrix of gene expression data associated with a Solver object
Examples
1 2 3 4 5 6 | # Create a Solver object using the included Alzheimer's data and retrieve the matrix
load(system.file(package="trena", "extdata/ampAD.154genes.mef2cTFs.278samples.RData"))
targetGene <- "MEF2C"
candidateRegulators <- setdiff(rownames(mtx.sub), targetGene)
solver <- Solver(mtx.sub, targetGene, candidateRegulators)
mtx <- getAssayData(solver)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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