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Zero-preserving imputation of single-cell RNA-seq data

A key challenge in analyzing single cell RNA-sequencing data is the large number of false zeros, where genes actually expressed in a given cell are incorrectly measured as unexpressed. We present a method based on low-rank matrix approximation which imputes these values while preserving biologically...

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Detalles Bibliográficos
Autores principales:	Linderman, George C., Zhao, Jun, Roulis, Manolis, Bielecki, Piotr, Flavell, Richard A., Nadler, Boaz, Kluger, Yuval
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8752663/ https://www.ncbi.nlm.nih.gov/pubmed/35017482 http://dx.doi.org/10.1038/s41467-021-27729-z

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