Scalable analysis of flow cytometry data using R/Bioconductor

Cytometry Part A

Volumn 75, Issue 8, 2009, Pages 699-706

  Klinke II, David J ^a,b   Brundage, Kathleen M ^b  

^a West Virginia University   (United States)

^b WEST VIRGINIA UNIVERSITY   (United States)

Author keywords

Bioinformatics; CD4+T cells; Statistics

Indexed keywords

CD4 ANTIGEN; HERMES ANTIGEN; L SELECTIN;

ANIMAL CELL; ANTIGEN EXPRESSION; ARTICLE; CD4+ T LYMPHOCYTE; CELL ISOLATION; CELL SELECTION; CONDUCTOR; CONTROLLED STUDY; DATA ANALYSIS; FEMALE; FLOW CYTOMETRY; FLUORESCENCE; LYMPHOCYTE SUBPOPULATION; MAGNETIC SEPARATION; MOUSE; NONHUMAN; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; SPLEEN CELL; T LYMPHOCYTE;

ANIMALS; ANTIGENS, CD4; FLOW CYTOMETRY; FLUORESCENCE; L-SELECTIN; MICE; MICE, INBRED BALB C; PRINCIPAL COMPONENT ANALYSIS; SPLEEN; STATISTICS AS TOPIC;

EID: 67651042932     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.20746     Document Type: Article

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