Description Usage Arguments Details Author(s) References Examples
View source: R/generateRmdCodeDiffExp.R
A function to generate code that can be run to perform differential expression analysis of RNAseq data (comparing two conditions) using the DSS 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.
1 | DSS.createRmd(data.path, result.path, codefile, norm.method, disp.trend)
|
data.path |
The path to a .rds file containing the |
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 |
disp.trend |
A logical parameter indicating whether or not to include a trend in the dispersion estimation. |
For more information about the methods and the interpretation of the parameters, see the DSS
package and the corresponding publications.
Charlotte Soneson
Wu H, Wang C and Wu Z (2013): A new shrinkage estimator for dispersion improves differential expression detection in RNA-seq data. Biostatistics 14(2), 232-243
1 2 3 4 5 6 7 8 9 10 11 | try(
if (require(DSS)) {
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"))
runDiffExp(data.file = file.path(tmpdir, "mydata.rds"), result.extent = "DSS",
Rmdfunction = "DSS.createRmd",
output.directory = tmpdir, norm.method = "quantile",
disp.trend = TRUE)
})
|
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