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NewWave

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12

Negative binomial model for scRNA-seq


Bioconductor version: Release (3.23)

A model designed for dimensionality reduction and batch effect removal for scRNA-seq data. It is designed to be massively parallelizable using shared objects that prevent memory duplication, and it can be used with different mini-batch approaches in order to reduce time consumption. It assumes a negative binomial distribution for the data with a dispersion parameter that can be both commonwise across gene both genewise.

Author: Federico Agostinis [aut, cre], Chiara Romualdi [aut], Gabriele Sales [aut], Davide Risso [aut]

Maintainer: Federico Agostinis <federico.agostinis at outlook.com>

Citation (from within R, enter citation("NewWave")):

Federico Agostinis, Chiara Romualdi, Gabriele Sales, Davide Risso. NewWave: Negative binomial model for scRNA-seq. doi:10.18129/B9.bioc.NewWave, R package version 1.22.0, https://bioconductor.org/packages/NewWave.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("NewWave")

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("NewWave")
vignette HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews BatchEffect, Coverage, GeneExpression, Regression, Sequencing, SingleCell, Software, Transcriptomics
Version1.22.0
In Bioconductor sinceBioC 3.12 (R-4.0) (6 years)
License GPL-3
Depends R (>= 4.0), SummarizedExperiment
Imports methods, SingleCellExperiment, parallel, irlba, Matrix, DelayedArray, BiocSingular, SharedObject, stats
System Requirements
URL
Bug Reportshttps://github.com/fedeago/NewWave/issues
See More
Suggests testthat, rmarkdown, splatter, mclust, Rtsne, ggplot2, Rcpp, BiocStyle, knitr
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Build Report Build Report, r-universe

Package Archives

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

Source Package NewWave_1.22.0.tar.gz
Windows Binary (x86_64) NewWave_1.22.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) NewWave_1.22.0.tgz
macOS Binary (sonoma-arm64) NewWave_1.22.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/NewWave
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/NewWave
Package Short Url https://bioconductor.org/packages/NewWave/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.23Source Archive