Feature-guided clustering of multi-dimensional flow cytometry datasets

Journal of Biomedical Informatics

Volumn 40, Issue 3, 2007, Pages 325-331

  Zeng, Qing T ^a,b   Pratt, Juan Pablo ^a   Pak, Jane ^a   Ravnic, Dino ^a   Huss, Harold ^a   Mentzer, Steven J ^a,b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Clustering; Flow cytometry; Kernel smoothing; Microspheres

Indexed keywords

CELLS; CLUSTERING ALGORITHMS; FEATURE EXTRACTION; FLOW CYTOMETRY; MICROSPHERES;

HISTOGRAM FEATURES; KERNEL SMOOTHING; MOLECULAR CHARACTERISTICS; PARTITION INDEX (PI) CLUSTERS;

DATA STRUCTURES;

MICROSPHERE;

ACCURACY; ALGORITHM; ARTICLE; FLOW CYTOMETRY; HISTOGRAM; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

ALGORITHMS; ANIMALS; ANTIBODIES; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; FLOW CYTOMETRY; FUZZY LOGIC; HUMANS; MICROSPHERES; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PROGRAMMING LANGUAGES; REGRESSION ANALYSIS;

EID: 34248346643     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2006.06.005     Document Type: Article

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