Mixture models for single-cell assays with applications to vaccine studies

Biostatistics

Volumn 15, Issue 1, 2014, Pages 87-101

  Finak, Greg ^a   Mcdavid, Andrew ^a   Chattopadhyay, Pratip ^b   Dominguez, Maria ^b   De Rosa, Steve ^a   Roederer, Mario ^b   Gottardo, Raphael ^a  

^a Fred Hutchinson Cancer Research Center   (United States)

^b NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES   (United States)

Author keywords

Bayesian modeling; Expectation Maximization; Flow cytometry; Hierarchical modeling; Immunology; Marginal likelihood; Markov Chain Monte Carlo; MIMOSA; Single cell gene expression

Indexed keywords

BIOLOGICAL MARKER; HUMAN IMMUNODEFICIENCY VIRUS VACCINE;

ALGORITHM; ARTICLE; BAYES THEOREM; BAYESIAN MODELING; COMPARATIVE STUDY; COMPUTER SIMULATION; EXPECTATION-MAXIMIZATION; FLOW CYTOMETRY; HIERARCHICAL MODELING; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; IMMUNOLOGY; MARGINAL LIKELIHOOD; MARKOV CHAIN MONTE CARLO; METHODOLOGY; MIMOSA; MONTE CARLO METHOD; PROBABILITY; SINGLE CELL ANALYSIS; SINGLE-CELL GENE EXPRESSION; STATISTICAL MODEL;

BAYESIAN MODELING; EXPECTATION-MAXIMIZATION; FLOW CYTOMETRY; HIERARCHICAL MODELING; IMMUNOLOGY; MARGINAL LIKELIHOOD; MARKOV CHAIN MONTE CARLO; MIMOSA; SINGLE-CELL GENE EXPRESSION;

AIDS VACCINES; ALGORITHMS; BAYES THEOREM; BIOLOGICAL MARKERS; COMPUTER SIMULATION; HIV INFECTIONS; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; SINGLE-CELL ANALYSIS;

EID: 84890485060     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxt024     Document Type: Article

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