BioConductor

zinbwave 1.2.0

Zero-Inflated Negative Binomial Model for RNA-Seq Data

Released May 1, 2018 by Davide Risso

Dependencies

copula 0.999-18 SingleCellExperiment 1.2.0 genefilter 1.62.0 softImpute 1.4 glmnet 2.0-16 BiocParallel 1.14.2 SummarizedExperiment 1.10.1 edgeR 3.22.3

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.

Source

Release History

• 1.2.0
• 1.1.7
• 1.1.5
• 1.1.4
• 1.1.3
• 1.1.2
• 1.1.1