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#' Synthetic clinical data
#'
#' A dataset containing sample clinical data for 100 patients with 40%
#' response rate
#'
#' @format A data frame with 100 rows and 4 columns (IDs are in rownames):
#' \describe{
#' \item{patient_id}{IDs matching the IDs used in the colnames of the assay
#' data matrix/matrices.}
#' \item{age}{A column to simulate age of patients. Not used.}
#' \item{gender}{A column to simulate gender of patients. Not used.}
#' \item{response}{The response outcome, to be used for differential analysis}
#' }
#' @usage NULL
"synthetic_metadata"
#' Synthetic RNA-seq count data
#'
#' Synthetic RNA-seq data after log2 normalisation
#'
#' @format A data frame with xx rows (genes) xx columns (patients IDs, matching
#' the metadata rownames).
#' @usage NULL
"synthetic_rnaseqData"
#' Synthetic RNA-seq count data
#'
#' Synthetic RNA-seq data after log2 normalisation
#'
#' @format A data frame with xx rows (proteins) xx columns (patients IDs).
#' @usage NULL
"synthetic_proteomicData"
#' Synthetic RNA-seq count data
#'
#' Synthetic RNA-seq data after log2 normalisation
#'
#' @format A data frame with xx rows (proteins) xx columns (patients IDs).
#' @usage NULL
"synthetic_OlinkData"
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