Consensus analysis of multiple classifiers using non-repetitive variables: Diagnostic application to microarray gene expression data

Computational Biology and Chemistry

Volumn 31, Issue 1, 2007, Pages 48-56

  Su, Zhenqiang ^a,b   Hong, Huixiao ^b   Perkins, Roger ^b   Shao, Xueguang ^c   Cai, Wensheng ^a,c   Tong, Weida ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

^c NANKAI UNIVERSITY   (China)

Author keywords

Consensus approach; Diagnostics; Microarray gene expression; Prognostics

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DIAGNOSIS; DNA; RANDOM PROCESSES;

CONSENSUS APPROACH; MICROARRAY GENE EXPRESSION; PROGNOSTICS;

GENETIC ENGINEERING;

TUMOR MARKER;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CLASSIFICATION; COMPUTER PROGRAM; DNA MICROARRAY; GENE EXPRESSION PROFILING; HUMAN; LEUKEMIA; MALE; NEOPLASM; PROSTATE TUMOR;

ALGORITHMS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; HUMANS; LEUKEMIA; MALE; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; SOFTWARE; TUMOR MARKERS, BIOLOGICAL;

EID: 33846858448     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2007.01.001     Document Type: Article

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