ellispatrick/SegmentedCellExperiment: S4 Class for segmented spatial 'omics data

This package describes an S4 class for storing data from segmented imaging cytometry and spatial omics data. It extends DataFrame and defines methods that take advantage of DataFrame nesting to represent elements of cell-based experiments with spatial orientation that are commonly encountered. This object is able to store information on a cell's spatial location, cellType, morphology, intensity of gene/protein marks as well as image level phenotype information.

Getting started

Package details

AuthorNicolas Canete and Ellis Patrick
Bioconductor views CellBasedAssays SingleCell
MaintainerEllis Patrick <ellis.patrick@sydney.edu.au>
LicenseGPL (>=2)
Version0.99.9
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ellispatrick/SegmentedCellExperiment")
ellispatrick/SegmentedCellExperiment documentation built on Feb. 24, 2020, 3:14 p.m.