Decision forest for classification of gene expression data

Computers in Biology and Medicine

Volumn 40, Issue 8, 2010, Pages 698-704

  Huang, Jianping ^a,b   Fang, Hong ^c   Fan, Xiaohui ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

^c ICF INTERNATIONAL   (United States)

Author keywords

Classification; Decision forest; Ensemble; Gene expression data; Microarray

Indexed keywords

BUILT-IN FEATURE; CLASSIFICATION DECISION; CURSE OF DIMENSIONALITY; DECISION FOREST; ENSEMBLE METHODS; GENE EXPRESSION DATA; HIGH DIMENSIONAL DATA; STATE-OF-THE-ART MACHINE LEARNING METHODS; TREE-BASED;

CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; FEATURE EXTRACTION; GRAPHICAL USER INTERFACES; LEARNING ALGORITHMS; LEARNING SYSTEMS;

GENE EXPRESSION;

ARTICLE; COMPUTER INTERFACE; DECISION FOREST; GENE EXPRESSION; LEARNING; LIVER TOXICITY; NEOPLASM; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; COMPUTER GRAPHICS; DATABASES, GENETIC; DECISION TREES; DRUG-INDUCED LIVER INJURY; GENE EXPRESSION PROFILING; HUMANS; LEUKEMIA; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REPRODUCIBILITY OF RESULTS; USER-COMPUTER INTERFACE;

EID: 77955565395     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2010.06.004     Document Type: Article

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