run.DESeq2 | R Documentation |
Wrapper to run DESeq2: create the DESeqDataSet
, normalize data, estimate dispersions, statistical testing...
run.DESeq2( counts, target, varInt, batch = NULL, locfunc = "median", fitType = "parametric", pAdjustMethod = "BH", cooksCutoff = TRUE, independentFiltering = TRUE, alpha = 0.05, ... )
counts |
|
target |
target |
varInt |
name of the factor of interest (biological condition) |
batch |
batch effect to take into account ( |
locfunc |
|
fitType |
mean-variance relationship: "parametric" (default) or "local" |
pAdjustMethod |
p-value adjustment method: |
cooksCutoff |
outliers detection threshold (TRUE to let DESeq2 choosing it or FALSE to disable the outliers detection) |
independentFiltering |
|
alpha |
significance threshold to apply to the adjusted p-values |
... |
optional arguments to be passed to |
A list containing the dds
object (DESeqDataSet
class), the results
objects (DESeqResults
class) and the vector of size factors
Hugo Varet
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