r-zinbwave 1.30.0
Propagated dependencies: r-biocparallel@1.42.0 r-edger@4.6.2 r-genefilter@1.90.0 r-matrix@1.7-3 r-singlecellexperiment@1.30.1 r-softimpute@1.4-3 r-summarizedexperiment@1.38.1
Channel: guix
Home page: https://bioconductor.org/packages/zinbwave
Licenses: Artistic License 2.0
Synopsis: Zero-inflated negative binomial model for RNA-seq data
Description:
This package 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.
Total results: 1