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

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...

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Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Immunology
Subjects:
cyclone
CyTOF
spectral flow cytometry
spatial expression data
multi-parametric analysis
FlowSOM
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1167241/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2023.1167241/full

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