Transformation of multicolour flow cytometry data with OTflow prevents misleading multivariate analysis results and incorrect immunological conclusions-Reference-Cited by-同舟云学术

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Transformation of multicolour flow cytometry data with OTflow prevents misleading multivariate analysis results and incorrect immunological conclusions

Published:2021-08-21 Issue:1 Volume:101 Page:72-85
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry Pt A

Author:

Folcarelli Rita¹,Staveren Selma²³^ORCID,Tinnevelt Gerjen¹³,Cadot Emily¹,Vrisekoop Nienke²,Buydens Lutgarde¹,Koenderman Leo²,Jansen Jeroen¹,Brink Oscar F.³

Affiliation:

1. Analytical Chemistry, Institute for Molecules and Materials Radboud University Nijmegen Nijmegen The Netherlands

2. Department of Respiratory Medicine, Center for Translational Immunology UMC Utrecht Utrecht The Netherlands

3. TI‐COAST Amsterdam The Netherlands

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24491

Reference39 articles.

1. Seventeen-colour flow cytometry: unravelling the immune system

2. Computational flow cytometry: helping to make sense of high-dimensional immunology data

3. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia

4. FLOOD: FLow cytometric Orthogonal Orientation for Diagnosis

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