The future of rapid and automated single-cell data analysis using reference mapping

As the number of single-cell datasets continues to grow rapidly, workflows that map new data to well-curated reference atlases offer enormous promise for the biological community. In this perspective, we discuss key computational challenges and opportunities for single-cell reference-mapping algorit...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Cell 2024-05, Vol.187 (10), p.2343-2358
Hauptverfasser:	Lotfollahi, Mohammad, Yuhan Hao, Theis, Fabian J., Satija, Rahul
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Cluster Analysis Computational Biology - methods cross-species comparisons Data Analysis Humans machine learning multimodal analysis reference mapping single-cell analysis Single-Cell Analysis - methods
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!