exploreDDS | R Documentation |
Convenience wrapper function to transform raw read counts using
the DESeq2::DESeq2-package()
package transformations methods. The input
file has to contain all the genes, not just differentially expressed ones.
exploreDDS( countMatrix, targets, cmp = cmp[[1]], preFilter = NULL, transformationMethod = "raw", blind = TRUE )
countMatrix |
|
targets |
targets |
cmp |
|
preFilter |
allows removing rows in which there are very few reads.
Accepts a numeric value with the minimum of total reads to keep. Default is
|
transformationMethod |
a |
blind |
logical, whether to blind the transformation to the experimental
design (see varianceStabilizingTransformation),
from |
Note that the recommendation is to use the resulting transformed
values in the transformationMethod
argument only for visualization and
clustering, not for differential expression analysis which needs raw counts.
Users are strongly encouraged to consult the DESeq2::DESeq2-package()
vignette for
more detailed information on this topic and how to properly run DESeq2
on
data sets with more complex experimental designs.
returns an object of class DESeq2::DESeqTransform()
.
Daniela Cassol
For more details on DESeq2
, please consult the following
page:
DESeq2.
For more details on targets
file definition, please consult the following
page:
systemPipeR.
## Targets file targetspath <- system.file("extdata", "targets.txt", package = "systemPipeR") targets <- read.delim(targetspath, comment = "#") cmp <- systemPipeR::readComp(file = targetspath, format = "matrix", delim = "-") ## Count table file countMatrixPath <- system.file("extdata", "countDFeByg.xls", package = "systemPipeR") countMatrix <- read.delim(countMatrixPath, row.names = 1) ## Run exploredds <- exploreDDS(countMatrix, targets, cmp = cmp[[1]], preFilter = NULL, transformationMethod = "raw" ) exploredds
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