How to Prepare Spectral Flow Cytometry Datasets for High Dimensional Data Analysis: A Practical Workflow
Spectral flow cytometry is an upcoming technique that allows for extensive multicolor panels, enabling simultaneous investigation of a large number of cellular parameters in a single experiment. To fully explore the resulting high-dimensional single cell datasets, high-dimensional analysis is needed...
Guardado en:
Autores principales: | Hannah den Braanker, Margot Bongenaar, Erik Lubberts |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/329e841f3f30488188d05aba33aeed9e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Single-Cell RNA Sequencing Reveals Heterogeneity and Functional Diversity of Lymphatic Endothelial Cells
por: Hannah den Braanker, et al.
Publicado: (2021) -
Flow Cytometry: A Blessing and a Curse
por: Hannah Drescher, et al.
Publicado: (2021) -
FlowKit: A Python Toolkit for Integrated Manual and Automated Cytometry Analysis Workflows
por: Scott White, et al.
Publicado: (2021) -
Assessing Biodegradability of Chemical Compounds from Microbial Community Growth Using Flow Cytometry
por: B. D. Özel Duygan, et al.
Publicado: (2021) -
Protocol for analysis of mouse neutrophil NETosis by flow cytometry
por: Cassandra J. McGill, et al.
Publicado: (2021)