Identification of differentially expressed genes in high-density oligonucleotide arrays accounting for the quantification limits of the technology

Biometrics

Volumn 59, Issue 3, 2003, Pages 542-554

  Tadesse, Mahlet G ^a   Ibrahim, Joseph G ^b   Mutter, George L ^c  

^a TEXAS A AND M UNIVERSITY   (United States)

^b IL   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

ANCOVA; Bayesian inference; Censored data; DNA microarray; Endometrial cancer; Gene expression; Hierarchical priors; HPD intervals

Indexed keywords

BAYESIAN NETWORKS; DIAGNOSIS; DISEASES; INFERENCE ENGINES; OLIGONUCLEOTIDES; REGRESSION ANALYSIS;

ANALYSIS OF COVARIANCES; BAYESIAN INFERENCE; CENSORED DATA; DNA MICROARRAY; ENDOMETRIAL CANCER; GENES EXPRESSION; HIERARCHICAL PRIOR; HPD INTERVALS; OLIGONUCLEOTIDE ARRAYS; QUANTIFICATION LIMIT;

GENE EXPRESSION;

BIOMETRY; GENE EXPRESSION;

ARTICLE; BAYES THEOREM; CANCER; CANCER DIAGNOSIS; DNA MICROARRAY; ENDOMETRIUM CANCER; FEMALE; GENE EXPRESSION; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; GENE ISOLATION; HUMAN; HUMAN TISSUE; METHODOLOGY; MULTIVARIATE ANALYSIS OF COVARIANCE; NUCLEOTIDE SEQUENCE; QUANTITATIVE ANALYSIS; SENSITIVITY ANALYSIS; STATISTICAL MODEL; TECHNOLOGY; TREATMENT OUTCOME;

EID: 0042835652     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/1541-0420.00064     Document Type: Article

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