Class discovery and classification of tumor samples using mixture modeling of gene expression data - A unified approach

Bioinformatics

Volumn 20, Issue 16, 2004, Pages 2545-2552

  Alexandridis, Roxana ^a   Lin, Shili ^a   Irwin, Mark ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA; ONCOPROTEIN;

ACCURACY; ACUTE LYMPHOCYTIC LEUKEMIA; ACUTE MYELOBLASTIC LEUKEMIA; ANALYTICAL ERROR; ARTICLE; CANCER CLASSIFICATION; CANCER GENETICS; CANCER RESEARCH; COLON CANCER; CONTROLLED STUDY; DNA MICROARRAY; EXPERIMENTAL MODEL; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENETIC ANALYSIS; GENETIC SELECTION; HUMAN; HUMAN CELL; LEUKEMIA; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MEDICAL LITERATURE; PRIORITY JOURNAL;

EID: 8844241460     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bth281     Document Type: Article

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