A Bayesian determination of threshold for identifying differentially expressed genes in microarray experiments

Statistics in Medicine

Volumn 25, Issue 18, 2006, Pages 3174-3189

  Chen, Jie ^a   Sarkar, Sanat K ^b  

^a MERCK RESEARCH LABORATORIES   (United States)

^b TEMPLE UNIVERSITY   (United States)

Author keywords

Average Bayes error rate; Average false discovery rate; Average false non discovery rate; Hierarchical mixture model; Microarray experiment

Indexed keywords

BRCA1 PROTEIN; BRCA2 PROTEIN; COMPLEMENTARY DNA;

ANALYTICAL ERROR; ANALYTICAL PARAMETERS; ARTICLE; BAYES THEOREM; BREAST CANCER; CONTROLLED STUDY; FAMILIAL CANCER; FREQUENCY ANALYSIS; GENE EXPRESSION PROFILING; HUMAN; INTERMETHOD COMPARISON; LINEAR SYSTEM; MATHEMATICAL COMPUTING; MICROARRAY ANALYSIS; MUTATIONAL ANALYSIS; RISK ASSESSMENT; SIMULATION;

BAYES THEOREM; BRCA1 PROTEIN; BRCA2 PROTEIN; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; GENE EXPRESSION; HUMANS; MUTATION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS;

EID: 33748582940     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2422     Document Type: Article

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