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.
|Author||Federico Agostinis [aut, cre], Chiara Romualdi [aut], Gabriele Sales [aut], Davide Risso [aut]|
|Bioconductor views||BatchEffect Coverage GeneExpression Regression Sequencing SingleCell Software Transcriptomics|
|Maintainer||Federico Agostinis <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
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