A marginal mixture model for selecting differentially expressed genes across two types of tissue samples

International Journal of Biostatistics

Volumn 4, Issue 1, 2008, Pages

  Qiu, Weiliang ^a   He, Wenqing ^b   Wang, Xiaogang ^c   Lazarus, Ross ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b UNIVERSITY OF WESTERN ONTARIO   (Canada)

^c YORK UNIVERSITY   (Canada)

Author keywords

Box Cox transformation; Differentially expressed gene; EM algorithm; Hierarchical structure; Mixture models; Posterior probability

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; BAYES THEOREM; GENE CLUSTER; GENE EXPRESSION; GENETIC SELECTION; MICROARRAY ANALYSIS; MULTIVARIATE ANALYSIS; PROBABILITY; STATISTICAL MODEL; STATISTICAL PARAMETERS; TISSUE TYPES; ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ALGORITHM; BIOSTATISTICS; DNA MICROARRAY; GENETICS; HUMAN; METHODOLOGY; MULTIGENE FAMILY; STATISTICS;

TRANSCRIPTOME;

ALGORITHMS; BAYES THEOREM; BIOSTATISTICS; HUMANS; LEUKEMIA, MYELOID, ACUTE; MODELS, STATISTICAL; MULTIGENE FAMILY; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PRECURSOR CELL LYMPHOBLASTIC LEUKEMIA-LYMPHOMA; TRANSCRIPTOME;

EID: 55549101297     PISSN: 15574679     EISSN: None     Source Type: Journal    
DOI: 10.2202/1557-4679.1093     Document Type: Article

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