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Bioconductor - SCArray

SCArray

This is the released version of SCArray; for the devel version, see SCArray.

Large-scale single-cell omics data manipulation with GDS files

Bioconductor version: Release (3.21)

Provides large-scale single-cell omics data manipulation using Genomic Data Structure (GDS) files. It combines dense and sparse matrices stored in GDS files and the Bioconductor infrastructure framework (SingleCellExperiment and DelayedArray) to provide out-of-memory data storage and large-scale manipulation using the R programming language.

Author: Xiuwen Zheng [aut, cre] ORCID: 0000-0002-1390-0708

Maintainer: Xiuwen Zheng <xiuwen.zheng at abbvie.com>

Citation (from within R, enter citation("SCArray")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("SCArray")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SCArray")
Details biocViews DataImport, DataRepresentation, Infrastructure, RNASeq, SingleCell, Software Version 1.16.0 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License GPL-3 Depends R (>= 3.5.0), gdsfmt(>= 1.36.0), methods, DelayedArray(>= 0.31.5) Imports S4Vectors, utils, Matrix, SparseArray(>= 1.5.13), BiocParallel, DelayedMatrixStats, SummarizedExperiment, SingleCellExperiment, BiocSingular System Requirements URL https://github.com/AbbVie-ComputationalGenomics/SCArray See More Package Archives

Follow Installation instructions to use this package in your R session.

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