Optimal approach for classification of acute leukemia subtypes based on gene expression data

Biotechnology Progress

Volumn 18, Issue 4, 2002, Pages 847-854

  Cho, Ji Hoon ^a,b   Lee, Dongkwon ^a,b   Jin, Hyun Park ^a,b   Kim, Kunwoo ^a,b   Lee, In Beum ^a,b  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

^b P and I Consulting Co Ltd   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSIONS;

DNA; GENES; LEAST SQUARES APPROXIMATIONS; LINEAR EQUATIONS; ONCOLOGY; PATTERN RECOGNITION; TUMORS;

BIOTECHNOLOGY;

ALGORITHMS; DISCRIMINANT ANALYSIS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMAN; LEUKEMIA, LYMPHOCYTIC, ACUTE; LEUKEMIA, MYELOCYTIC, ACUTE; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION; PROBABILITY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUPPORT, NON-U.S. GOV'T; HUMANS; PATTERN RECOGNITION, AUTOMATED;

ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOCYTIC LEUKEMIA; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; DISCRIMINANT ANALYSIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; HUMAN; METHODOLOGY; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

EID: 0036022005     PISSN: 87567938     EISSN: None     Source Type: Journal    
DOI: 10.1021/bp025517o     Document Type: Article

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