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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Fabian Hausmann, Can Ergen, Robin Khatri, Matteo Marouf, Sonja Hänzelmann, Nicola Gagliani, Samuel Huber, Pierre Machart, Stefan Bonn
Format: Article
Language:English
Published: BMC 2023-09-01
Series:Genome Biology
Subjects:
Single-cell RNA-seq
RNA sequencing
Imputation
Cell clustering
Cell type identification
Expression reconstruction
Online Access:https://doi.org/10.1186/s13059-023-03049-x
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s13059-023-03049-x

Similar Items