A statistical pattern recognition approach for determining cellular viability and lineage phenotype in cultured cells and murine bone marrow

Cytometry Part A

Volumn 71, Issue 8, 2007, Pages 612-624

  Quinn, John ^a,b   Fisher, Paul W ^c   Capocasale, Renold J ^c   Achuthanandam, Ram ^c   Kam, Moshe ^d   Bugelski, Peter J ^a,c   Hrebien, Leonid ^a,d  

^a DREXEL UNIVERSITY   (United States)

^b Treestar Inc   (United States)

^c CENTOCOR INC   (United States)

^d Drexel University   (United States)

Author keywords

7 aminoactinomycin D; Anemia of chronic disease; Annexin V; Apoptosis; Erythropoietin; Flow cytometry; Neural networks; Pattern recognition

Indexed keywords

7 AMINODACTINOMYCIN; BIOLOGICAL MARKER; ERYTHROPOIETIN; FLUORESCEIN ISOTHIOCYANATE; LIPOCORTIN 5; RECOMBINANT ERYTHROPOIETIN;

ANIMAL CELL; APOPTOSIS; ARTICLE; ARTIFICIAL NEURAL NETWORK; BONE MARROW CELL; CELL LINEAGE; CELL SURFACE; CELL VIABILITY; CONTROLLED STUDY; ERYTHROID PRECURSOR CELL; EX VIVO STUDY; FLOW CYTOMETRY; FLUORESCENCE; HOMEOSTASIS; HUMAN; HUMAN CELL; IN VITRO STUDY; LIGHT SCATTERING; MEMBRANE PERMEABILITY; MOUSE; NONHUMAN; PHENOTYPE; PRIORITY JOURNAL; STATISTICAL ANALYSIS; VALIDATION PROCESS;

ANIMALS; APOPTOSIS; BONE MARROW CELLS; CELL LINEAGE; CELL SURVIVAL; CELLS, CULTURED; ERYTHROPOIETIN, RECOMBINANT; FEMALE; HUMANS; MICE; MICE, TRANSGENIC; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PHENOTYPE; ROC CURVE; TIME FACTORS;

EID: 34547700296     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.20416     Document Type: Article

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