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.


Reference manual

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4.0.1 by Paul Hoffman, a day ago,

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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