BayesFlow: Latent modeling of flow cytometry cell populations

BMC Bioinformatics

Volumn 17, Issue 1, 2016, Pages

  Johnsson, Kerstin ^a   Wallin, Jonas ^b   Fontes, Magnus ^a,c  

^a LUND UNIVERSITY   (Sweden)

^b UNIVERSITY OF GOTHENBURG   (Sweden)

^c INSTITUT PASTEUR   (France)

Author keywords

Bayesian hierarchical models; Flow cytometry; Model based clustering

Indexed keywords

CELL CULTURE; CELL PROLIFERATION; CELLS; CYTOLOGY; DATA HANDLING; FLOW CYTOMETRY; HIERARCHICAL SYSTEMS;

ABSOLUTE MEASUREMENTS; AUTOMATED FLOW CYTOMETRY; BAYESIAN HIERARCHICAL MODEL; DATA ANALYSIS METHODS; MODEL-BASED CLUSTERING; RESEARCH APPLICATIONS; SINGLE CELL MEASUREMENT; SYSTEMATIC ANALYSIS;

POPULATION STATISTICS;

CELL POPULATION; CONTROLLED STUDY; FLOW CYTOMETRY; HUMAN; HUMAN CELL; HUMAN EXPERIMENT; JOINT; MODEL; NORMAL HUMAN; PHENOTYPE; PIPELINE; BAYES THEOREM; COMPUTER SIMULATION; FACTUAL DATABASE; MOLECULAR MODEL; PROCEDURES;

BAYES THEOREM; COMPUTER SIMULATION; DATABASES, FACTUAL; FLOW CYTOMETRY; HUMANS; MODELS, MOLECULAR;

EID: 84953851427     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0862-z     Document Type: Article

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