Automated analysis of flow cytometry data comes of age. (Q46225517)

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6 March 2020

editorial

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title

Automated analysis of flow cytometry data comes of age (English)

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6 March 2020

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1

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Greg Finak

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3

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Richard H. Scheuermann

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6

object named as

Richard H Scheuermann

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2

Nima Aghaeepour

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4

Raphael Gottardo

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author name string

Tim Mosmann

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5

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publication date

1 January 2016

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6 March 2020

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volume

89

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issue

1

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page(s)

13-15

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Critical assessment of automated flow cytometry data analysis techniques.

6 March 2020

cites work

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https://api.crossref.org/works/10.1002%2FCYTO.A.22810

Computational prediction of manually gated rare cells in flow cytometry data

21 January 2018

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https://api.crossref.org/works/10.1002%2FCYTO.A.22810

immunoClust--An automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.22810

gEM/GANN: A multivariate computational strategy for auto-characterizing relationships between cellular and clinical phenotypes and predicting disease progression time using high-dimensional flow cytometry data

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.22810

flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification.

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.22810

Enhanced flowType/RchyOptimyx: a BioConductor pipeline for discovery in high-dimensional cytometry data

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.22810

Thinking outside the gate: single-cell assessments in multiple dimensions

21 January 2018

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.22810

21 January 2018

Identifiers

DOI

10.1002/CYTO.A.22810

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6 March 2020

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