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Cyclone: an accessible pipeline to analyze, evaluate, and optimize multiparametric cytometry data

In the past decade, high-dimensional single-cell technologies have revolutionized basic and translational immunology research and are now a key element of the toolbox used by scientists to study the immune system. However, analysis of the data generated by these approaches often requires clustering...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Ravi K. Patel, Rebecca G. Jaszczak, Kwok Im, Nicholas D. Carey, Tristan Courau, Daniel G. Bunis, Bushra Samad, Lia Avanesyan, Nayvin W. Chew, Sarah Stenske, Jillian M. Jespersen, Jean Publicover, Austin W. Edwards, Mohammad Naser, Arjun A. Rao, Leonard Lupin-Jimenez, Matthew F. Krummel, Stewart Cooper, Jody L. Baron, Alexis J. Combes, Gabriela K. Fragiadakis
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2023-09-01
Schriftenreihe:Frontiers in Immunology
Schlagworte:
cyclone
CyTOF
spectral flow cytometry
spatial expression data
multi-parametric analysis
FlowSOM
Online-Zugang:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1167241/full
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