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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4.0.4 by Paul Hoffman, 2 months 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  

MIT + file LICENSE license

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

Suggests testthat

Linking to Rcpp, RcppEigen

Imported by CAMML, Platypus, Seurat, Signac.

Depended on by tidyseurat.

Suggested by VAM, singleCellHaystack.

See at CRAN