View source: R/generateRmdCodeDiffExp.R
DSS.createRmd | R Documentation |
.Rmd
file containing code to perform differential expression analysis with DSSA 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.
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
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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