voom.qn.limma.createRmd: Generate a '.Rmd' file containing code to perform...

Description Usage Arguments Details Value Author(s) References Examples

View source: R/voom.qn.limma.createRmd.R

Description

A function to generate code that can be run to perform differential expression analysis of RNAseq data (comparing two conditions) by applying the voom transformation with quantile normalization (from the limma package) followed by differential expression analysis with limma.

Usage

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voom.qn.limma.createRmd(data.path, result.path, codefile,
  norm.method = "quantile")

Arguments

data.path

The path to a .rds file containing the compData object that will be used for the differential expression analysis.

result.path

The path to the file where the result object will be saved.

codefile

The path to the file where the code will be written.

norm.method

The microarray-style normalization method to be applied to the logCPM values. Choices are as for the method argument of voom function.

Details

For more information about the methods and the interpretation of the parameters, see the limma package and the corresponding publications.

Value

The function generates a .Rmd file containing the code for performing the differential expression analysis. This file can be executed using e.g. the knitr package.

Author(s)

BuKyung Baik

References

Smyth GK (2005): Limma: linear models for microarray data. In: 'Bioinformatics and Computational Biology Solutions using R and Bioconductor'. R. Gentleman, V. Carey, S. Dudoit, R. Irizarry, W. Huber (eds), Springer, New York, pages 397-420

Law CW, Chen Y, Shi W and Smyth GK (2014): voom: precision weights unlock linear model analysis tools for RNA-seq read counts. Genome Biology 15, R29

Examples

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tmpdir <- normalizePath(tempdir(), winslash = "/")
SyntheticDataSimulation(simul.data= 'KIRC', dataset = file.path(tmpdir, "mydata.rds"), n.var = 500,
                                    samples.per.cond = 3, n.diffexp = 100, dispType='same', mode='D',
                                    fraction.upregulated=0.5, dataset.parameters=generateDatasetParameter())
compcodeR::runDiffExp(data.file = file.path(tmpdir, "mydata.rds"), result.extent = "voom.qn.limma",
           Rmdfunction = "voom.qn.limma.createRmd",
           output.directory = tmpdir,)

unistbig/compareDEtools documentation built on May 1, 2020, 9:41 p.m.