#' Generic for the method 'run_preprocess_workflow'
#'
#' @docType methods
#' @name run_preprocess_workflow
#' @rdname run_preprocess_workflow-methods
#'
#' @export
#'
methods::setGeneric(
"run_preprocess_workflow",
function(eset, config) {
standardGeneric("run_preprocess_workflow")
}
)
# nolint start
#' 'run_preprocess_workflow' for ExpressionSet and MicroarrayPreprocessConfig
#'
#' @name run_preprocess_workflow
#' @rdname run_preprocess_workflow-methods
#' @importClassesFrom Biobase ExpressionSet
#'
#' @aliases run_preprocess_workflow,ExpressionSet,MicroarrayPreprocessConfig-method
#'
#' @return a Biobase::ExpressionSet
#'
#' @export
# nolint end
methods::setMethod(
f = "run_preprocess_workflow",
signature = methods::signature(
eset = "ExpressionSet",
config = "MicroarrayPreprocessConfig"
),
definition = function(
eset,
config
) {
entrez_adder <- if (config@annot_gpl) {
# The gpl dataset contains Entrez Id and gene-symbol columns already
# We only need to reformat them and add them back to the featureData
# of the expressionSet
add_entrez_columns_if_gset_has_annotgpl
} else {
# Use the default esetAnnotation function defined in drug.markers
# package
gld_fnDefault_esetAnnotation
}
# Run preprocess_eset_workflow to add consistent entrez.id column and to
# transform and median-centre the data, if necessary
preprocess_eset_workflow(
gset = eset,
entrezgene_db = config@entrezgene_db,
eset_annot_fn = entrez_adder,
keep_sample_fn = config@keep_sample_fn,
keep_probe_fn = config@keep_probe_fn
)
}
)
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