baySeq.createRmd: Generate a '.Rmd' file containing code to perform...

In compcodeR: RNAseq data simulation, differential expression analysis and performance comparison of differential expression methods

Description

A function to generate code that can be run to perform differential expression analysis of RNAseq data (comparing two conditions) using the baySeq package. The code is written to a .Rmd file. This function is generally not called by the user, the main interface for performing differential expression analysis is the runDiffExp function.

Usage

baySeq.createRmd(
  data.path,
  result.path,
  codefile,
  norm.method,
  equaldisp,
  sample.size = 5000,
  estimation = "QL",
  pET = "BIC"
)

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 between-sample normalization method used to compensate for varying library sizes and composition in the differential expression analysis. Possible values are "quantile", "total" and "edgeR".
equaldisp	Logical parameter indicating whether or not equal dispersion should be assumed across all conditions.
sample.size	The size of the sample used to estimate the priors (default 5000).
estimation	The approach used to estimate the priors. Possible values are "QL" (default), "ML" and "edgeR".
pET	The method used to re-estimate the priors. Possible values are "BIC" (default), "none" and "iteratively".

Details

For more information about the methods and the interpretation of the parameters, see the baySeq 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)

Charlotte Soneson

References

Hardcastle TJ (2012): baySeq: Empirical Bayesian analysis of patterns of differential expression in count data. R package

Hardcastle TJ and Kelly KA (2010): baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data. BMC Bioinformatics 11:422

Examples

try(
if (require(baySeq)) {
tmpdir <- normalizePath(tempdir(), winslash = "/")
mydata.obj <- generateSyntheticData(dataset = "mydata", n.vars = 1000, 
                                    samples.per.cond = 5, n.diffexp = 100, 
                                    output.file = file.path(tmpdir, "mydata.rds"))
## Note! In the interest of speed, we set sample.size=10 in this example. 
## In a real analysis, much larger sample sizes are recommended (the default is 5000).
runDiffExp(data.file = file.path(tmpdir, "mydata.rds"), result.extent = "baySeq", 
           Rmdfunction = "baySeq.createRmd", 
           output.directory = tmpdir, norm.method = "edgeR",
           equaldisp = TRUE, sample.size = 10)
})

compcodeR documentation built on Nov. 10, 2020, 2 a.m.