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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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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 <federico.agostinis@outlook.com> |
License | GPL-3 |
Version | 1.0.2 |
Package repository | View on Bioconductor |
Installation |
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