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.
Package details |
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Bioconductor views | DimensionReduction GeneExpression ImmunoOncology RNASeq Sequencing SingleCell Software Transcriptomics |
Maintainer | |
License | Artistic-2.0 |
Version | 1.25.2 |
Package repository | View on GitHub |
Installation |
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