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Bioconductor - DelayedMatrixStats

DelayedMatrixStats

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

Functions that Apply to Rows and Columns of 'DelayedMatrix' Objects

Bioconductor version: Release (3.21)

A port of the 'matrixStats' API for use with DelayedMatrix objects from the 'DelayedArray' package. High-performing functions operating on rows and columns of DelayedMatrix objects, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized.

Author: Peter Hickey [aut, cre] ORCID: 0000-0002-8153-6258 , Hervé Pagès [ctb], Aaron Lun [ctb]

Maintainer: Peter Hickey <peter.hickey at gmail.com>

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

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


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

BiocManager::install("DelayedMatrixStats")

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("DelayedMatrixStats")
Details See More Suggests testthat, knitr, rmarkdown, BiocStyle, microbenchmark, profmem, HDF5Array, matrixStats (>= 1.0.0) Linking To Enhances Depends On Me Imports Me AUCell, batchelor, biscuiteer, bsseq, Cepo, dmrseq, dreamlet, DropletUtils, FRASER, glmGamPoi, GSVA, lemur, methrix, methylSig, mia, minfi, mumosa, NetActivity, PCAtools, recountmethylation, SCArray, scFeatures, scMerge, scone, singleCellTK, SingleR, sparrow, SpliceWiz, SVP, weitrix, celldex, spatialGE Suggests Me condiments, DelayedArray, EWCE, HDF5Array, lute, MatrixGenerics, mbkmeans, ScaledMatrix, scater, scPCA, scran, scuttle, slingshot, SplineDV, tradeSeq, TrajectoryUtils, Voyager, ClustAssess, SpatialDDLS Links To Me Build Report Build Report Package Archives

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


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