A latent variable approach for meta-analysis of gene expression data from multiple microarray experiments

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Choi, Hyungwon ^a   Shen, Ronglai ^a   Chinnaiyan, Arul M ^a   Ghosh, Debashis ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXPECTATION-MAXIMIZATION ALGORITHMS; GENE EXPRESSION DATA; HIGH-THROUGHPUT; MARKOV CHAIN MONTE CARLO; METASTATIC CANCERS; MICROARRAY EXPERIMENTS; MICROARRAY TECHNOLOGIES; PROBABILISTIC FRAMEWORK;

ALGORITHMS; EQUIVALENCE CLASSES; GENE EXPRESSION;

EXPERIMENTS;

ARTICLE; BIOINFORMATICS; DNA MICROARRAY; GENE EXPRESSION; GENETIC ALGORITHM; HUMAN; INTERMETHOD COMPARISON; INTERNET; LIVER CANCER; LUNG CANCER; METASTASIS; MONTE CARLO METHOD; NUCLEOTIDE SEQUENCE; PROBABILITY; PROSTATE CANCER; STRUCTURAL EQUATION MODELING; UNINDEXED SEQUENCE; CARCINOMA; EVALUATION; GENE EXPRESSION PROFILING; META ANALYSIS; METABOLISM; METHODOLOGY; STATISTICAL ANALYSIS;

TUMOR MARKER; TUMOR PROTEIN;

CARCINOMA; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; HUMANS; MARKOV CHAINS; NEOPLASM PROTEINS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; TUMOR MARKERS, BIOLOGICAL;

EID: 39549116496     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-364     Document Type: Article

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