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NewWave

Negative binomial model for scRNA-seq

Bioconductor version: 3.24 · Package version: 1.23.0

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.

Installation

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

BiocManager::install("NewWave")

Details

MaintainerFederico Agostinis <federico.agostinis@outlook.com>
AuthorFederico Agostinis [aut, cre], Chiara Romualdi [aut], Gabriele Sales [aut], Davide Risso [aut]
LicenseGPL-3
Bug Reportshttps://github.com/fedeago/NewWave/issues
Downloads rank396
Source branchdevel
biocViewsBatchEffect, Coverage, GeneExpression, Regression, Sequencing, SingleCell, Software, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageNewWave_1.23.0.tar.gz
Windows binary (x86_64)NewWave_1.23.0.zip
macOS binary (arm64)NewWave_1.23.0.tgz
macOS binary (x86_64)NewWave_1.23.0.tgz
Dependencies

Depends: R (>= 4.0), SummarizedExperiment

Imports: methods, SingleCellExperiment, parallel, irlba, Matrix, DelayedArray, BiocSingular, SharedObject, stats

Suggests: testthat, rmarkdown, splatter, mclust, Rtsne, ggplot2, Rcpp, BiocStyle, knitr