CRAN/E | SeuratObject

SeuratObject

Data Structures for Single Cell Data

Installation

About

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) doi:10.1038/nbt.3192, Macosko E, Basu A, Satija R, et al (2015) doi:10.1016/j.cell.2015.05.002, and Stuart T, Butler A, et al (2019) doi:10.1016/j.cell.2019.05.031 for more details.

mojaveazure.github.io/seurat-object/
github.com/mojaveazure/seurat-object
Bug report File report

Key Metrics

Version 4.1.3
R ≥ 4.0.0
Published 2022-11-07 144 days ago
Needs compilation? yes
License MIT
License File
CRAN checks SeuratObject results

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Maintainer

Maintainer

Paul Hoffman

seurat@nygenome.org

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

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SeuratObject archive

Depends

R ≥ 4.0.0
sp ≥ 1.5.0

Imports

future
future.apply
grDevices
grid
Matrix ≥ 1.5.0
methods
progressr
Rcpp ≥ 1.0.5
rlang ≥ 0.4.7
stats
tools
utils

Suggests

ggplot2
rgeos
testthat

LinkingTo

Rcpp
RcppEigen

Reverse Depends

tidyseurat

Reverse Imports

bbknnR
CAMML
GeomxTools
Platypus
sccomp
scpoisson
scRepertoire
Seurat
Signac
SpatialDecon

Reverse Suggests

cellpypes
escape
Nebulosa
scOntoMatch
singleCellHaystack
SPECK
SPOTlight
VAM