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90
Becton Dickinson exchange plug-in
Visualization methods.
Exchange Plug In, supplied by Becton Dickinson, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/exchange plug-in/product/Becton Dickinson
Average 90 stars, based on 1 article reviews
exchange plug-in - by Bioz Stars, 2026-05
90/100 stars
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Visualization methods.

Journal: Methods in enzymology

Article Title: Characterization of the tumor immune infiltrate by multiparametric flow cytometry and unbiased high-dimensional data analysis

doi: 10.1016/bs.mie.2019.11.012

Figure Lengend Snippet: Visualization methods.

Article Snippet: Some of the algorithms used for this purpose are briefly described below (see also ). table ft1 table-wrap mode="anchored" t5 caption a7 Method Environment Description Limitations PhenoGraph R (included in Cytofkit), Phyton, MATLAB ™ , FlowJo Exchange plug-in Based on nearest-neighbor graph, followed by definition of communities as interconnected events Number of clusters not customizable Not so fast ClusterX R (defined in Cytofkit) Based on densities in the tSNE projection map Fast Limited to tSNE ability to define clusters Number of clusters not customizable FlowSOM R package (included in Cytofkit), FlowJo Exchange plug-in Based in Self-Organization Maps (SOM) follow by hierarchical clustering Very fast Number of clusters customizable For exploratory analysis, hard to determine the number of clusters Open in a separate window Clustering methods.

Techniques:

Clustering methods.

Journal: Methods in enzymology

Article Title: Characterization of the tumor immune infiltrate by multiparametric flow cytometry and unbiased high-dimensional data analysis

doi: 10.1016/bs.mie.2019.11.012

Figure Lengend Snippet: Clustering methods.

Article Snippet: Some of the algorithms used for this purpose are briefly described below (see also ). table ft1 table-wrap mode="anchored" t5 caption a7 Method Environment Description Limitations PhenoGraph R (included in Cytofkit), Phyton, MATLAB ™ , FlowJo Exchange plug-in Based on nearest-neighbor graph, followed by definition of communities as interconnected events Number of clusters not customizable Not so fast ClusterX R (defined in Cytofkit) Based on densities in the tSNE projection map Fast Limited to tSNE ability to define clusters Number of clusters not customizable FlowSOM R package (included in Cytofkit), FlowJo Exchange plug-in Based in Self-Organization Maps (SOM) follow by hierarchical clustering Very fast Number of clusters customizable For exploratory analysis, hard to determine the number of clusters Open in a separate window Clustering methods.

Techniques: