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

Internet

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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