Bridging biological scales by state-space analysis and modeling using molecular, tissue cytometric and physiological data

Cytometry Part A

Volumn 69, Issue 3, 2006, Pages 113-116

  Kriete, Andres ^a,b  

^a DREXEL UNIVERSITY   (United States)

^b Laboratory of Molecular and Cellular Biology of Hematopoiesis   (United States)

Author keywords

Cytometry; Gene expression; Modeling; Physiome; State space; Systems biology

Indexed keywords

MESSENGER RNA;

ARTICLE; CELL COMPOSITION; CELL TYPE; CYTOMETRY; GENE EXPRESSION; PHENOTYPE; PRIORITY JOURNAL; SYSTEMS BIOLOGY; TISSUE CHARACTERIZATION; TISSUE INJURY; TISSUE MICROARRAY;

COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; EUKARYOTIC CELLS; GENE EXPRESSION PROFILING; HUMANS; IMAGE CYTOMETRY; MODELS, BIOLOGICAL; MOLECULAR BIOLOGY; SYSTEMS BIOLOGY;

EID: 33645925303     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.20226     Document Type: Article

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