#' @section cellpypes Objects:
#' A cellpypes object is a \link[base]{list} with four slots:
#' \describe{
#' \item{\code{raw }}{(sparse) matrix with genes in rows, cells in columns}
#' \item{\code{totalUMI }}{the colSums of obj$raw}
#' \item{\code{embed }}{two-dimensional embedding of the cells, provided as data.frame
#' or tibble with two columns and one row per cell.}
#' \item{\code{neighbors }}{index matrix with one row per cell and k columns, where
#' k is the number of nearest neighbors (we recommend 15<k<100, e.g. k=50).
#' Here are two ways to get the neighbors index matrix:
#' \itemize{
#' \item Use \code{find_knn(featureMatrix)$idx}, where featureMatrix could be
#' principal components, latent variables or normalized genes (features in
#' rows, cells in columns).
#' \item use \code{as(seurat@graphs[["RNA_nn"]], "dgCMatrix")> .1} to extract
#' the kNN
#' graph computed on RNA. The \code{> .1} ensures this also works with RNA_snn,
#' wknn/wsnn or any other
#' available graph – check with \code{names(seurat@graphs)}.
#' }
#' }
#' }
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