Shrinkage estimation of effect sizes as an alternative to hypothesis testing followed by estimation in high-dimensional biology: Applications to differential gene expression

Statistical Applications in Genetics and Molecular Biology

Volumn 9, Issue 1, 2010, Pages

  Montazeri, Zahra ^a   Yanofsky, Corey M ^a   Bickel, David R ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Bayesian inference; empirical Bayes; genome wide association; high dimensional biology; hypothesis testing; microarray data analysis; multiple comparison procedures; shrinkage estimation; simultaneous significance

Indexed keywords

ARTICLE; BAYES THEOREM; BOOTSTRAPPING; CONTROLLED STUDY; EFFECT SIZE; GENE EXPRESSION; GENETIC ASSOCIATION; GENOME; HYPOTHESIS; MAXIMUM LIKELIHOOD METHOD; PERFORMANCE; RELIABILITY; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; VALIDITY; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; LABORATORY DIAGNOSIS; STATISTICAL MODEL; STATISTICS;

FALSE POSITIVE REACTIONS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 77954414929     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1504     Document Type: Article

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