ideal | R Documentation |
ideal makes differential expression analysis interactive, easy and reproducible. This function launches the main application included in the package.
ideal(
dds_obj = NULL,
res_obj = NULL,
annotation_obj = NULL,
countmatrix = NULL,
expdesign = NULL,
gene_signatures = NULL
)
dds_obj |
A |
res_obj |
A |
annotation_obj |
A |
countmatrix |
A count matrix, with genes as rows and samples as columns. If not provided, it is possible to upload the data during the execution of the Shiny App |
expdesign |
A |
gene_signatures |
A list of vectors, one for each pathway/signature. This
is for example the output of the |
A Shiny App is launched for interactive data exploration and differential expression analysis
# with simulated data...
library("DESeq2")
dds <- DESeq2::makeExampleDESeqDataSet(n = 100, m = 8)
cm <- counts(dds)
cd <- colData(dds)
# with the well known airway package...
library("airway")
data("airway", package = "airway")
airway
dds_airway <- DESeq2::DESeqDataSetFromMatrix(assay(airway),
colData = colData(airway),
design = ~ cell + dex
)
## Not run:
ideal()
ideal(dds)
ideal(dds_airway)
dds_airway <- DESeq2::DESeq(dds_airway)
res_airway <- DESeq2::results(dds_airway)
ideal(dds_airway, res_airway)
## End(Not run)
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