#' An S4 class for mass spectrometry or bio-assay data and gene pathway lists
#'
#' @slot assayData_df An \eqn{N \times p} data frame with named columns.
#' @slot sampleIDs_char A character vector with the N sample names.
#' @slot pathwayCollection A list of known gene pathways with three or four
#' elements:
#' \itemize{
#' \item{\code{pathways} : }{A named list of character vectors. Each vector
#' contains the names of the individual genes within that pathway as a
#' vector of character strings. The names contained in these vectors must
#' have non-empty overlap with the \emph{column names} of the
#' \code{assayData_df} data frame. The names of the pathways (the list
#' elements themselves) should be the a shorthand representation of the
#' full pathway name.}
#' \item{\code{TERMS} : }{A character vector the same length as the
#' \code{pathways} list with the proper names of the pathways.}
#' \item{\code{description} : }{An optional character vector the same length
#' as the \code{pathways} list with additional information about the
#' pathways.}
#' \item{\code{setsize} : }{A named integer vector the same length as the
#' \code{pathways} list with the number of genes in each pathway. This list
#' item is calculated during the creation step of a \code{CreateOmics}
#' function call.}
#' }
#' @slot trimPathwayCollection A subset of the list stored in the
#' \code{pathwayCollection} slot. This list will have pathways that only
#' contain genes that are present in the assay data frame.
#'
#' @seealso \code{\link{CreateOmics}}
#'
#' @importFrom methods setClass
#' @importFrom methods setOldClass
#'
#' @export
setClass(
"OmicsPathway",
slots = c(
assayData_df = "data.frame",
sampleIDs_char = "character",
pathwayCollection = "list",
trimPathwayCollection = "list"
)
)
# so my create.*() functions don't throw a fit when they see a tibble:
setOldClass(c("tbl_df", "tbl", "data.frame"))
# So the lists imported with the read_gmt function are allowed
setOldClass(c("pathwayCollection", "list"))
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