A comparison of automatic cell identification methods for single-cell RNA sequencing data

A comparison of automatic cell identification methods for single-cell RNA sequencing data

Abstract Background Single-cell transcriptomics is rapidly advancing our understanding of the cellular composition of complex tissues and organisms. A major limitation in most analysis pipelines is the reliance on manual annotations to determine cell identities, which are time-consuming and irreprod...

Full description

Bibliographic Details
Main Authors: Tamim Abdelaal, Lieke Michielsen, Davy Cats, Dylan Hoogduin, Hailiang Mei, Marcel J. T. Reinders, Ahmed Mahfouz
Format: Article
Language:English
Published: BMC 2019-09-01
Series:Genome Biology
Subjects:
scRNA-seq
Benchmark
Classification
Cell identity
Online Access:http://link.springer.com/article/10.1186/s13059-019-1795-z

Internet

http://link.springer.com/article/10.1186/s13059-019-1795-z

Similar Items