Subject classification obtained by cluster analysis and principal component analysis applied to flow cytometric data

Cytometry Part A

Volumn 71, Issue 5, 2007, Pages 334-344

  Lugli, Enrico ^a   Pinti, Marcello ^a   Nasi, Milena ^a   Troiano, Leonarda ^a   Ferraresi, Roberta ^a   Mussi, Chiara ^a   Salvioli, Gianfranco ^a   Patsekin, Valeri ^b   Robinson, J Paul ^b   Durante, Caterina ^a   Cocchi, Marina ^a   Cossarizza, Andrea ^a,c  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

^b PURDUE UNIVERSITY   (United States)

^c Section of General Pathology   (Italy)

Author keywords

Cluster analysis; Data analysis; Polychromatic flow cytometry; Principal component analysis; Subject classification

Indexed keywords

FAS ANTIGEN; INTERLEUKIN 7 RECEPTOR;

ADULT; AGE DISTRIBUTION; AGED; ANTIGEN EXPRESSION; ARTICLE; CELL COMPARTMENTALIZATION; CLUSTER ANALYSIS; CONTROLLED STUDY; CYTOFLUOROMETRY; FEMALE; FLOW CYTOMETRY; HUMAN; HUMAN CELL; MALE; MEMORY T LYMPHOCYTE; NORMAL HUMAN; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; T LYMPHOCYTE SUBPOPULATION;

ADULT; AGED, 80 AND OVER; AGING; ANTIGENS, CD38; ANTIGENS, CD95; CD4-POSITIVE T-LYMPHOCYTES; CD8-POSITIVE T-LYMPHOCYTES; CLASSIFICATION; CLUSTER ANALYSIS; FEMALE; FLOW CYTOMETRY; HUMANS; IMMUNOLOGIC MEMORY; INTERLEUKIN-7 RECEPTOR ALPHA SUBUNIT; MALE; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS;

EID: 34248139722     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.20387     Document Type: Article

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