Data Structures for Single Cell Data

Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) , Macosko E, Basu A, Satija R, et al (2015) , and Stuart T, Butler A, et al (2019) for more details.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("SeuratObject")

4.0.1 by Paul Hoffman, a day ago


https://satijalab.org/seurat, https://github.com/mojaveazure/seurat-object


Report a bug at https://github.com/mojaveazure/seurat-object/issues


Browse source code at https://github.com/cran/SeuratObject


Authors: Rahul Satija [aut] , Andrew Butler [aut] , Paul Hoffman [aut, cre] , Tim Stuart [aut] , Jeff Farrell [ctb] , Shiwei Zheng [ctb] , Christoph Hafemeister [ctb] , Patrick Roelli [ctb] , Yuhan Hao [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports grDevices, grid, Matrix, methods, Rcpp, rlang, stats, tools, utils

Suggests testthat

Linking to Rcpp, RcppEigen


Imported by Seurat, Signac.

Suggested by VAM, singleCellHaystack.


See at CRAN