gEM/GANN: A multivariate computational strategy for auto-characterizing relationships between cellular and clinical phenotypes and predicting disease progression time using high-dimensional flow cytometry data

Cytometry Part A

Volumn 87, Issue 7, 2015, Pages 616-623

  Tong, Dong Ling ^a   Ball, Graham R ^a   Pockley, A Graham ^a  

^a NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

Author keywords

Cluster analysis; Expectation maximization; Feature identification; Genetic algorithm neural network; Imbalance; Key terms: FlowCAP; Multidimensional; Survival time

Indexed keywords

ALGORITHM; BIOLOGY; CLUSTER ANALYSIS; DISEASE COURSE; FLOW CYTOMETRY; HIV INFECTIONS; HUMAN; INFORMATION PROCESSING; MULTIVARIATE ANALYSIS; PROCEDURES; PROGNOSIS;

ALGORITHMS; AUTOMATIC DATA PROCESSING; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DISEASE PROGRESSION; FLOW CYTOMETRY; HIV INFECTIONS; HUMANS; MULTIVARIATE ANALYSIS; PROGNOSIS;

EID: 84932195404     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.22622     Document Type: Article

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