Comprehensive multivariate evaluation of the effects on cell phenotypes in multicolor flow cytometry data using ANOVA simultaneous component analysis-Reference-Cited by-同舟云学术

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Comprehensive multivariate evaluation of the effects on cell phenotypes in multicolor flow cytometry data using ANOVA simultaneous component analysis

Published:2022-05-19 Issue: Volume: Page:
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Bertinetto Carlo G.¹^ORCID,Spijkerman Roy²³⁴,Hesselink Lillian²³,Tinnevelt Gerjen H.¹,Bongers Coen C. W. G.⁵,Postma Geert J.¹,Hopman Maria T. E.⁵,Koenderman Leo³⁴,Jansen Jeroen J.¹

Affiliation:

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

2. Department of Trauma Surgery University Medical Center Utrecht Utrecht The Netherlands

3. Center for Translational Immunology (CTI) University Medical Center Utrecht Utrecht The Netherlands

4. Department of Respiratory Medicine University Medical Center Utrecht Utrecht The Netherlands

5. Department of Physiology, Radboud Institute for Health Sciences (RIHS) Radboud University Medical Center Nijmegen The Netherlands

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.3402

Reference53 articles.

1. Flow Cytometry: Principles and Clinical Applications in Hematology

2. Flow cytometry strikes gold

3. Clinical application of flow cytometry: A review

4. Automated flow cytometry enables high performance point-of-care analysis of leukocyte phenotypes

5. Data analysis in flow cytometry: The future just started

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