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Bioconductor 3.22 Released

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NewWave

This is thereleased version of NewWave; for the devel version, seeNewWave.

Negative binomial model for scRNA-seq

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DOI: 10.18129/B9.bioc.NewWave


Bioconductor version: Release (3.22)

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, entercitation("NewWave")):

Installation

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

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

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

Documentation

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

browseVignettes("NewWave")
vignetteHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsBatchEffect,Coverage,GeneExpression,Regression,Sequencing,SingleCell,Software,Transcriptomics
Version1.20.0
In Bioconductor sinceBioC 3.12 (R-4.0) (5 years)
LicenseGPL-3
DependsR (>= 4.0),SummarizedExperiment
Importsmethods,SingleCellExperiment, parallel,irlba,Matrix,DelayedArray,BiocSingular,SharedObject, stats
System Requirements
URL
Bug Reportshttps://github.com/fedeago/NewWave/issues
See More
Suggeststestthat,rmarkdown,splatter,mclust,Rtsne,ggplot2,Rcpp,BiocStyle,knitr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageNewWave_1.20.0.tar.gz
Windows Binary (x86_64) NewWave_1.20.0.zip (64-bit only)
macOS Binary (x86_64)NewWave_1.20.0.tgz
macOS Binary (arm64)NewWave_1.20.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/NewWave
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/NewWave
Bioc Package Browserhttps://code.bioconductor.org/browse/NewWave/
Package Short Urlhttps://bioconductor.org/packages/NewWave/
Package Downloads ReportDownload Stats

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