#' A pair of matrix factors
#'
#' Two matrices that can be thresholded to determine which samples and
#' features are members of which biclusters. After running a
#' matrix-factorization biclustering method, such as SVD-PCA, ALS-NMF, or SNMF,
#' these matrices will be score and loading matrices.
#' @slot W an m x k matrix
#' @slot H a k x n matrix
#' @export
setClass("genericFactorization", slots = list(W = "matrix", H = "matrix"))
#' A biclustering algorithm result
#'
#' Contains the results and metadata from running a biclustering algorithm.
#'
#' @slot fit a \code{\link{genericFactorization-class}} object
#' @slot method the name of the biclustering algorithm used
#' @export
setClass("genericFit", slots = list(fit = "genericFactorization",
method = "character"))
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