Automated high-dimensional flow cytometric data analysis

Proceedings of the National Academy of Sciences of the United States of America

Volumn 106, Issue 21, 2009, Pages 8519-8524

  Pyne, Saumyadipta ^a   Hu, Xinli ^a   Wang, Kui ^b   Rossin, Elizabeth ^a   Lin, Tsung I ^c   Maier, Lisa M ^a,d   Baecher Allan, Clare ^d   McLachlan, Geoffrey J ^b   Tamayo, Pablo ^a   Hafler, David A ^a,d   De Jager, Philip L ^a,d,e   Mesirov, Jill P ^a  

^a BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

^e LABORATORY FOR MOLECULAR MEDICINE   (United States)

Author keywords

Finite mixture model; Flow cytometry; Multivariate skew distribution

Indexed keywords

CELL SURFACE MARKER; HLA DQ ANTIGEN;

ARTICLE; AUTOMATION; CELL POPULATION; FLOW CYTOMETRY; FLUORESCENCE; GENOTYPE; PHENOTYPE; PRIORITY JOURNAL;

BIOLOGICAL MARKERS; CELL LINE; CELL MEMBRANE; FLOW CYTOMETRY; IMMUNITY, INNATE; IMMUNOLOGIC MEMORY; MODELS, BIOLOGICAL; PHENOTYPE; PHOSPHORYLATION; STATISTICS AS TOPIC; T-LYMPHOCYTES;

EID: 66649115648     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.0903028106     Document Type: Article

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