Science not art: statistically sound methods for identifying subsets in multi-dimensional flow and mass cytometry data sets. | Nat Rev Immunol;18(1): 77, 2017 12 22. | MEDLINE

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Science not art: statistically sound methods for identifying subsets in multi-dimensional flow and mass cytometry data sets.

Orlova, Darya Y; Herzenberg, Leonore A; Walther, Guenther.

Affiliation

Orlova DY; Department of Genetics, Stanford University School of Medicine, Stanford, California 943051, USA.
Herzenberg LA; Department of Genetics, Stanford University School of Medicine, Stanford, California 943051, USA.
Walther G; Department of Statistics, Stanford University, Stanford, California 94305, USA.

Nat Rev Immunol ; 18(1): 77, 2017 12 22.

Article in En | MEDLINE | ID: mdl-29269766

Subject(s)

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Allergy and Immunology / Flow Cytometry Language: En Journal: Nat Rev Immunol Journal subject: ALERGIA E IMUNOLOGIA Year: 2017 Document type: Article Affiliation country:

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Allergy and Immunology / Flow Cytometry Language: En Journal: Nat Rev Immunol Journal subject: ALERGIA E IMUNOLOGIA Year: 2017 Document type: Article Affiliation country: