Sub-population analysis based on temporal features of high content images

BMC Bioinformatics

Volumn 10, Issue SUPPL. 15, 2009, Pages

  Veronika, Merlin ^a   Evans, James ^c   Matsudaira, Paul ^a,b   Welsch, Roy ^a,d   Rajapakse, Jagath ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c WHITEHEAD INSTITUTE FOR BIOMEDICAL RESEARCH   (United States)

^d MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL CULTURE; CELL PROLIFERATION; CELLS; TISSUE;

ACTIVE CONTOUR WITHOUT EDGES; ANALYTICAL METHOD; AUTO REGRESSIVE MODELS; BIOLOGICAL PROBLEMS; CELL POPULATIONS; HIGH-CONTENT SCREENING; TEMPORAL FEATURES; TRADITIONAL TECHNIQUES; ACTIVE CONTOURS; AUTOREGRESSIVE MODELING; CELL MORPHOLOGY; CELL MOTILITY; DYNAMIC FEATURES; HIGH-CONTENT; HIGH-DIMENSIONAL; KINETIC FEATURES; MANUAL METHODS; SUB-POPULATIONS; TISSUE LEVELS;

POPULATION STATISTICS; BIOINFORMATICS;

ANALYTIC METHOD; ANIMAL CELL; ARTICLE; CELL MOTILITY; CELL STRUCTURE; CLUSTER ANALYSIS; HIGH THROUGHPUT SCREENING; IMAGE ANALYSIS; KINETICS; MACROPHAGE; MOUSE; NONHUMAN; SIGNAL TRANSDUCTION; ANIMAL; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CELL; CELL CULTURE; CELL MOTION; CYTOLOGY; METABOLISM; METHODOLOGY; PHYSIOLOGY;

ANIMALS; CELL MOVEMENT; CELLS; CELLS, CULTURED; COMPUTATIONAL BIOLOGY; MACROPHAGES; MICE; PATTERN RECOGNITION, AUTOMATED;

EID: 71549163459     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-S15-S4     Document Type: Article

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