% Generated by roxygen2: do not edit by hand % Please edit documentation in R/data.R \docType{data} \name{pancreasSCE} \alias{pancreasSCE} \title{Example SingleCellExperiment object} \format{ A SingleCellExperiment object containing the raw and arcsinh-transformed mean pixel counts per cell as well as associated cell- and protein-specific metadata. Row names represent the names of the target proteins and column names represent the image name and cell id of each cell. \describe{ \item{colData}{Cell-specific metadata where rownames represent the image name and cell id. It containins the \enumerate{ \item image number (ImageNb), \item cell number/identifier (CellNb), \item spatial position on the image (Pos_X, Pos_Y), \item the associated image name (ImageName, see \code{?"\link[cytomapper]{pancreasImages}"}), \item the associated mask name (MaskName, see \code{?"\link[cytomapper]{pancreasMasks}"}), \item a arbitrary cell-type label (CellType) \item a logical (Pattern) indicating exocrine cells } } \item{rowData}{Protein-specific metadata where rownames represent the names of the target proteins. It contains the \enumerate{ \item channel number (frame), \item metal tag of the antibody (MetalTag) \item Target (the expanded name of the targeted protein) \item clean_Target (the abbreviated name of the targeted protein) } } \item{assays}{List of protein expression counts containing: \enumerate{ \item the raw expression counts (counts): mean pixel value per cell and protein \item arcsinh-transformed raw expression counts using a co-factor of 1 (exprs) } } } } \usage{ pancreasSCE } \description{ This \linkS4class{SingleCellExperiment} object contains the expression values of 5 proteins (rows) from 362 cells (columns) across 3 images. The data is part of a imaging mass cytometry study on the progression of Type 1 diabetes and therefore contains pancreas cells. } \references{ \href{https://www.sciencedirect.com/science/article/pii/S1550413118306910}{ Damond, N. et al., A Map of Human Type 1 Diabetes Progression by Imaging Mass Cytometry, Cell Metabolism 29:3, 2019} } \keyword{datasets}