DISCERN: deep single-cell expression reconstruction for improved cell clustering and cell subtype and state detection

Abstract Background Single-cell sequencing provides detailed insights into biological processes including cell differentiation and identity. While providing deep cell-specific information, the method suffers from technical constraints, most notably a limited number of expressed genes per cell, which...

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Bibliografiske detaljer

Principais autores:	Fabian Hausmann, Can Ergen, Robin Khatri, Matteo Marouf, Sonja Hänzelmann, Nicola Gagliani, Samuel Huber, Pierre Machart, Stefan Bonn
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2023-09-01
Serier:	Genome Biology
Fag:	Single-cell RNA-seq RNA sequencing Imputation Cell clustering Cell type identification Expression reconstruction
Online adgang:	https://doi.org/10.1186/s13059-023-03049-x
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