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.
|Bioconductor views||DimensionReduction GeneExpression ImmunoOncology RNASeq Sequencing SingleCell Software Transcriptomics|
|Package repository||View on GitHub|
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