(Q31149987)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

30 March 2020

title

Comparison of clustering methods for high-dimensional single-cell flow and mass cytometry data (English)

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

30 March 2020

1

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

30 March 2020

Mark D. Robinson

series ordinal

2

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

30 March 2020

author name string

Lukas M Weber

series ordinal

1

1 reference

29 June 2017

Mark D Robinson

series ordinal

2

1 reference

29 June 2017

publication date

19 December 2016

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

30 March 2020

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

30 March 2020

volume

89

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

30 March 2020

issue

12

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

30 March 2020

page(s)

1084-1096

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

The end of gating? An introduction to automated analysis of high dimensional cytometry data.

30 March 2020

cites work

1 reference

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OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis

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Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium

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Critical assessment of automated flow cytometry data analysis techniques.

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A benchmark for evaluation of algorithms for identification of cellular correlates of clinical outcomes.

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7 January 2021

High-dimensional single-cell analysis reveals the immune signature of narcolepsy.

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7 January 2021

Identification of Vaccine-Altered Circulating B Cell Phenotypes Using Mass Cytometry and a Two-Step Clustering Analysis.

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7 January 2021

Avoiding common pitfalls when clustering biological data

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7 January 2021

Clustering high-dimensional data

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7 January 2021

Mass cytometry: blessed with the curse of dimensionality.

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7 January 2021

Algorithmic Tools for Mining High-Dimensional Cytometry Data

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7 January 2021

Methods for discovery and characterization of cell subsets in high dimensional mass cytometry data

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7 January 2021

Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis

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7 January 2021

Comparing the performance of biomedical clustering methods.

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7 January 2021

FlowRepository: a resource of annotated flow cytometry datasets associated with peer-reviewed publications.

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7 January 2021

Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE).

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7 January 2021

Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline

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7 January 2021

High-dimensional analysis of the murine myeloid cell system.

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7 January 2021

Elucidation of seventeen human peripheral blood B-cell subsets and quantification of the tetanus response using a density-based method for the automated identification of cell populations in multidimensional flow cytometry data

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.23030

7 January 2021

flowClust: a Bioconductor package for automated gating of flow cytometry data

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.23030

7 January 2021

Rapid cell population identification in flow cytometry data

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7 January 2021

flowPeaks: a fast unsupervised clustering for flow cytometry data via K-means and density peak finding

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7 January 2021

FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data

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7 January 2021

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

1 reference

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7 January 2021

Data reduction for spectral clustering to analyze high throughput flow cytometry data

1 reference

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7 January 2021

Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.23030

7 January 2021

SWIFT-scalable clustering for automated identification of rare cell populations in large, high-dimensional flow cytometry datasets, part 2: biological evaluation

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.23030

7 January 2021

Frequency determination of rare populations by flow cytometry: a hematopoietic stem cell perspective.

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.23030

7 January 2021

Orchestrating high-throughput genomic analysis with Bioconductor

1 reference

https://api.crossref.org/works/10.1002%2FCYTO.A.23030

7 January 2021

Identifiers

DOI

10.1002/CYTO.A.23030

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:27992111%20AND%20SRC:MED&resulttype=core&format=json

30 March 2020

1 reference