Improving the Rigor and Reproducibility of Flow Cytometry‐Based Clinical Research and Trials Through Automated Data Analysis-Reference-Cited by-同舟云学术

Improving the Rigor and Reproducibility of Flow Cytometry‐Based Clinical Research and Trials Through Automated Data Analysis

Published:2019-09-13 Issue:2 Volume:97 Page:107-112
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Brinkman Ryan R.¹²³

Affiliation:

1. Department of Medical GeneticsUniversity of British Columbia Vancouver British Columbia Canada

2. Terry Fox LaboratoryBC Cancer Agency Vancouver British Columbia Canada

3. Cytapex Bioinformatics Inc. Vancouver British Columbia Canada

Funder

Natural Sciences and Engineering Research Council of Canada

National Institute of General Medical Sciences

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.23883

Reference25 articles.

1. Raise standards for preclinical cancer research

2. A standardized immune phenotyping and automated data analysis platform for multicenter biomarker studies

3. Automated identification of subpopulations in flow cytometric list mode data using cluster analysis

4. Pruteanu‐Malinici I. Automated Analyses of Flow Cytometry Data Enables Identification of Biomarkers that Predict Clinical Response to CAR‐T Cell Therapies. 33rd Congress of the International Society for the Advancement of Cytometry 2018:139.

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