An Empirical Bayesian Approach for Identifying Differential Coexpression in High-Throughput Experiments

Biometrics

Volumn 68, Issue 2, 2012, Pages 455-465

  Dawson, John A ^a   Kendziorski, Christina ^b  

^a University of Wisconsin Madison   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Coexpression; Differential expression; Empirical bayes; Gene expression; Meta analysis; Microarray

Indexed keywords

BAYESIAN NETWORKS; IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; THROUGHPUT;

BAYESIAN APPROACHES; CO-EXPRESSION; DIFFERENTIAL EXPRESSION; DIFFERENTIALLY EXPRESSED GENE; EMPIRICAL BAYES; EMPIRICAL BAYESIAN; GENES EXPRESSION; HIGH THROUGHPUT EXPERIMENTS; HIGH-THROUGHPUT GENOMICS; META-ANALYSIS;

GENE EXPRESSION;

ALGORITHM; ARRAY; BAYESIAN ANALYSIS; COMPUTER SIMULATION; EMPIRICAL ANALYSIS; EXPERIMENTAL STUDY; GENE EXPRESSION; GENOMICS; META-ANALYSIS; NUMERICAL MODEL;

EID: 84862889045     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2011.01688.x     Document Type: Article

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