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
)
A DESeq2::DESeqDataSet()
object. If not provided, then a
countmatrix
and a expdesign
need to be provided. If none of
the above is provided, it is possible to upload the data during the
execution of the Shiny App
A DESeq2::DESeqResults()
object. If not provided, it can
be computed during the execution of the application
A data.frame
object, with row.names as gene
identifiers (e.g. ENSEMBL ids) and a column, gene_name
, containing
e.g. HGNC-based gene symbols. If not provided, it can be constructed during
the execution via the org.eg.XX.db packages - these need to be installed
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
A data.frame
containing the info on the covariates
of each sample. If not provided, it is possible to upload the data during the
execution of the Shiny App
A list of vectors, one for each pathway/signature. This
is for example the output of the read_gmt()
function. The provided
object can also be replaced during runtime in the dedicated upload widget.
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
#> class: RangedSummarizedExperiment
#> dim: 63677 8
#> metadata(1): ''
#> assays(1): counts
#> rownames(63677): ENSG00000000003 ENSG00000000005 ... ENSG00000273492
#> ENSG00000273493
#> rowData names(10): gene_id gene_name ... seq_coord_system symbol
#> colnames(8): SRR1039508 SRR1039509 ... SRR1039520 SRR1039521
#> colData names(9): SampleName cell ... Sample BioSample
dds_airway <- DESeq2::DESeqDataSetFromMatrix(assay(airway),
colData = colData(airway),
design = ~ cell + dex
)
if (FALSE) { # \dontrun{
ideal()
ideal(dds)
ideal(dds_airway)
dds_airway <- DESeq2::DESeq(dds_airway)
res_airway <- DESeq2::results(dds_airway)
ideal(dds_airway, res_airway)
} # }