A model designed for dimensionality reduction and batch effect removal for scRNA-seq data. It is designed to be massively parallelizable using shared objects that prevent memory duplication, and it can be used with different mini-batch approaches in order to reduce time consumption. It assumes a negative binomial distribution for the data with a dispersion parameter that can be both commonwise across gene both genewise.
Package details |
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Bioconductor views | BatchEffect Coverage GeneExpression Regression Sequencing SingleCell Software Transcriptomics |
Maintainer | |
License | GPL-3 |
Version | 1.1.2 |
Package repository | View on GitHub |
Installation |
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