- Home
- Bioconductor 3.22
- Software Packages
- zinbwave
zinbwave
This is the released version of zinbwave; for the devel version, see zinbwave.
Zero-Inflated Negative Binomial Model for RNA-Seq Data
Bioconductor version: Release (3.22)
Implements a general and flexible zero-inflated negative binomial model that can be used to provide a low-dimensional representations of single-cell RNA-seq data. The model accounts for zero inflation (dropouts), over-dispersion, and the count nature of the data. The model also accounts for the difference in library sizes and optionally for batch effects and/or other covariates, avoiding the need for pre-normalize the data.
Author: Davide Risso [aut, cre, cph], Svetlana Gribkova [aut], Fanny Perraudeau [aut], Jean-Philippe Vert [aut], Clara Bagatin [aut]
Maintainer: Davide Risso <risso.davide at gmail.com>
citation("zinbwave")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("zinbwave")
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("zinbwave")
Details
See More
Package Archives
Follow Installation instructions to use this package in your R session.