A semiparametric approach for marker gene selection based on gene expression data

Bioinformatics

Volumn 21, Issue 4, 2005, Pages 529-536

  Guan, Zhong ^a   Zhao, Hongyu ^b  

^a INDIANA UNIVERSITY SOUTH BEND   (United States)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ANALYTICAL ERROR; ARTICLE; B CELL LEUKEMIA; CANCER CLASSIFICATION; CONTROLLED STUDY; DATA ANALYSIS; GENE EXPRESSION; GENE IDENTIFICATION; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MARKER GENE; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; NONPARAMETRIC TEST; NORMAL DISTRIBUTION; NUCLEOTIDE SEQUENCE; PARAMETRIC TEST; PRIORITY JOURNAL; RANK SUM TEST; SENSITIVITY ANALYSIS; SIMULATION; T CELL LEUKEMIA; VALIDATION PROCESS;

EID: 14644433026     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti032     Document Type: Article

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