Multi-class HingeBoost*, method and application to the classification of cancer types using gene expression data

Methods of Information in Medicine

Volumn 51, Issue 2, 2012, Pages 162-167

  Wang, Z ^a  

^a UNIVERSITY OF CONNECTICUT SCHOOL OF MEDICINE   (United States)

Author keywords

Boosting; Classification; Regression trees; Smoothing splines; Variable selection

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; CLASSIFICATION; COMPUTER SIMULATION; GENE EXPRESSION; GENE EXPRESSION REGULATION; GENETICS; HUMAN; NEOPLASM; PROBABILITY; REGRESSION ANALYSIS;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; GENE EXPRESSION; GENE EXPRESSION REGULATION; HUMANS; NEOPLASMS; PROBABILITY; REGRESSION ANALYSIS;

EID: 84863338146     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/me11-02-0020     Document Type: Article

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