An open-source solution for advanced imaging flow cytometry data analysis using machine learning-Reference-Cited by-同舟云学术

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An open-source solution for advanced imaging flow cytometry data analysis using machine learning

Published:2017-01 Issue: Volume:112 Page:201-210
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Hennig Holger,Rees Paul,Blasi Thomas,Kamentsky Lee,Hung Jane,Dao David,Carpenter Anne E.,Filby Andrew

Funder

Biotechnology and Biological Sciences Research Council

Engineering and Physical Sciences Research Council

National Science Foundation

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,Molecular Biology

Reference30 articles.

1. Origins of regulated cell-to-cell variability;Snijder;Nat. Rev. Mol. Cell Biol.,2011

2. Cellular heterogeneity: do differences make a difference?;Altschuler;Cell,2010

3. Single-cell analysis tools for drug discovery and development;Heath;Nat. Rev. Drug Discov.,2016

4. A deep profiler’s guide to cytometry;Bendall;Trends Immunol.,2012

5. Cellular image analysis and imaging by flow cytometry;Basiji;Clin. Lab. Med.,2007

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