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Interpretable factor models of single-cell RNA-seq via variational autoencoders

MOTIVATION: Single-cell RNA-seq makes possible the investigation of variability in gene expression among cells, and dependence of variation on cell type. Statistical inference methods for such analyses must be scalable, and ideally interpretable. RESULTS: We present an approach based on a modificati...

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Publicat a:Bioinformatics
Autors principals: Svensson, Valentine, Gayoso, Adam, Yosef, Nir, Pachter, Lior
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2020
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7267837/
https://ncbi.nlm.nih.gov/pubmed/32176273
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa169
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