An efficient and robust statistical modeling approach to discover differentially expressed genes using genomic expression profiles

Genome Research

Volumn 11, Issue 7, 2001, Pages 1227-1236

  Thomas, Jeffrey G ^a   Olson, James M ^a   Tapscott, Stephen J ^a   Zhao, Ping ^a  

^a Fred Hutchinson Cancer Research Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA; THROMBOPOIETIN;

ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ARTICLE; CLINICAL ARTICLE; CLUSTER ANALYSIS; CONTROLLED STUDY; CORRELATION FUNCTION; DNA MICROARRAY; GENE EXPRESSION; HUMAN; HYPOTHESIS; METHODOLOGY; PRIORITY JOURNAL; REGRESSION ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME; UNINDEXED SEQUENCE;

ACUTE DISEASE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; LEUKEMIA, LYMPHOCYTIC, ACUTE; LEUKEMIA, MYELOID; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; REGRESSION ANALYSIS;

EID: 0034911875     PISSN: 10889051     EISSN: None     Source Type: Journal    
DOI: 10.1101/gr.165101     Document Type: Article

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