Deterministic projection by growing cell structure networks for visualization of high-dimensionality datasets

Journal of Biomedical Informatics

Volumn 38, Issue 4, 2005, Pages 322-330

  Wong, Jason W H ^a   Cartwright, Hugh M ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Clinical proteomics dataset; Data visualization; Feature transformation; Growing cell structure networks; High dimensionality data; Random projection; Self organizing maps; Topology preserving maps

Indexed keywords

BIOMEDICAL ENGINEERING; DATA ACQUISITION; MEDICAL IMAGING; NEUROLOGY; SELF ORGANIZING MAPS; VISUALIZATION;

GROWING CELL STRUCTURES (GCS); HIGH-DIMENSIONALITY DATASETS; NEURONAL VECTORS; PROTEOMICS;

CELLS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DATA ANALYSIS; INFORMATION PROCESSING; PRIORITY JOURNAL; RANDOMIZATION;

ALGORITHMS; CELL PHYSIOLOGY; CELL PROLIFERATION; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PROTEOME; SIGNAL TRANSDUCTION;

EID: 23244445943     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2005.02.002     Document Type: Article

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