A ranked subspace learning method for gene expression data classification

Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007

Volumn 1, Issue , 2007, Pages 358-364

  He, Haibo ^a   Shen, Xiaoping ^b  

^a Stevens Institute of Technology   (United States)

^b OHIO UNIVERSITY   (United States)

Author keywords

Bootstrap sampling; Classify ensemble; Microarray classification; Ranked subspace; Support vector machine

Indexed keywords

BIOMEDICAL RESEARCH; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFY ENSEMBLE; CLINICAL TREATMENTS; DATA SAMPLE; DATA SETS; FEATURE SPACE; GENE EXPRESSION DATA; GENERAL LEARNING; HIGH DIMENSIONS; IDENTITY LABELS; INHERENT CHARACTERISTICS; MICROARRAY CLASSIFICATION; MICROARRAY EXPRESSIONS; PERFORMANCE COMPARISON; RANDOM SUBSPACE METHOD; RANKED SUBSPACE; RESEARCH RESULTS; SCORE FUNCTION; SUBSPACE LEARNING; VOTING MECHANISM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; MICROARRAYS; SUPPORT VECTOR MACHINES;

GENE EXPRESSION;

EID: 43249129827     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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