A neural network-based biomarker association information extraction approach for cancer classification

Journal of Biomedical Informatics

Volumn 42, Issue 4, 2009, Pages 654-666

  Wang, Hong Qiang ^a   Wong, Hau San ^a   Zhu, Hailong ^b   Yip, Timothy T C ^c  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c QUEEN ELIZABETH HOSPITAL   (Hong Kong)

Author keywords

Biomarker Association Network; Cancer classification; High throughput technology; Neural network

Indexed keywords

ASSOCIATION PATTERNS; CANCER CLASSIFICATION; CLASSIFICATION APPROACH; CONVENTIONAL CLASSIFICATION METHODS; DATA SETS; ENERGY FUNCTIONS; EXPRESSION LEVELS; HIGH-THROUGHPUT DATA; HIGH-THROUGHPUT TECHNOLOGY; INFORMATION EXTRACTION;

NEURAL NETWORKS;

BIOMARKERS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER CLASSIFICATION; CANCER RESEARCH; CONCEPTUAL FRAMEWORK; LEUKEMIA; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL;

ALGORITHMS; DATABASES, GENETIC; GENE EXPRESSION PROFILING; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEOPLASMS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; REPRODUCIBILITY OF RESULTS; TUMOR MARKERS, BIOLOGICAL;

EID: 67649407372     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2008.12.010     Document Type: Article

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