A stochastic model to analyze clonal data on multi-type cell populations

Biometrics

Volumn 61, Issue 1, 2005, Pages 199-207

  Hyrien, Ollivier ^a   Mayer Pröschel, Margot ^a   Noble, Mark ^a   Yakovlev, Andrei ^a  

^a UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

Author keywords

Branching stochastic process; Monte Carlo test; Multi type cell clones; Oligodendrocytes; Pseudo likelihood; Simulation based inference

Indexed keywords

CELL CULTURE; CELL PROLIFERATION; CLONE CELLS; COVARIANCE MATRIX; MONTE CARLO METHODS; POPULATION STATISTICS; SAMPLING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BRANCHING STOCHASTIC PROCESS; CELL CLONES; MONTE CARLO TESTS; MULTI-TYPE CELL CLONE; OLIGODENDROCYTES; PROGENITOR CELL; PSEUDO-LIKELIHOOD; SIMULATION-BASED INFERENCE; STOCHASTIC-MODELING; VARIANCE-COVARIANCE MATRICES;

RANDOM PROCESSES;

BOOTSTRAPPING; COMPUTER SIMULATION; NERVOUS SYSTEM; STOCHASTICITY;

ANALYSIS OF VARIANCE; ARTICLE; CELL CLONE; CELL COUNT; CELL CULTURE; CELL DIFFERENTIATION; CELL DIVISION; CELL POPULATION; CELL PROLIFERATION; CELL TRANSFORMATION; CELL TYPE; CELLULAR DISTRIBUTION; CENTRAL NERVOUS SYSTEM; COMPUTER SIMULATION; COVARIANCE; MITOSIS; MONTE CARLO METHOD; NERVOUS SYSTEM DEVELOPMENT; STATISTICAL PARAMETERS; STEM CELL; STOCHASTIC MODEL;

EID: 15044348748     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2005.031210.x     Document Type: Article

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