Analysis of heterogeneous cell populations: A density-based modeling and identification framework

Journal of Process Control

Volumn 21, Issue 10, 2011, Pages 1417-1425

  Hasenauer, Jan ^a   Waldherr, Steffen ^a   Doszczak, Malgorzata ^a   Scheurich, Peter ^a   Radde, Nicole ^a   Allgöwer, Frank ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Apoptotic signaling; Bootstrapping; Cell population; Convex optimization; Density estimation; Parameter estimation

Indexed keywords

APOPTOTIC SIGNALING; BIOLOGICAL PROCESS; BOOTSTRAPPING; CANCER CELLS; CASPASE ACTIVATION; CELL POPULATION; CELL POPULATIONS; DENSITY ESTIMATION; DENSITY-BASED; INDIVIDUAL CELLS; MULTI-SCALE MODELING; NOISE PROPERTIES; PARAMETER VALUES; POPULATION DATA; POPULATION DENSITIES; STATISTICAL DATA MODEL; STATISTICAL PROPERTIES; STOCHASTIC DIFFERENTIAL EQUATIONS; UNKNOWN PARAMETERS;

CELL CULTURE; CELL PROLIFERATION; CLONE CELLS; CONVEX OPTIMIZATION; MODELS; OPTIMIZATION; PARAMETER ESTIMATION; PARTIAL DIFFERENTIAL EQUATIONS; UNCERTAINTY ANALYSIS;

POPULATION STATISTICS;

EID: 84860390345     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2011.06.020     Document Type: Conference Paper

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