An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments

Bioinformatics

Volumn 20, Issue 2, 2004, Pages 235-241

  Datta, Susmita ^a   Satten, Glen A ^b   Benos, Dale J ^c   Xia, Jiazeng ^c   Heslin, Martin J ^d   Datta, Somnath ^e  

^a GEORGIA STATE UNIVERSITY   (United States)

^b CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

^c UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^d Kentucky   (United States)

^e UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA; OLIGONUCLEOTIDE;

ANALYSIS OF VARIANCE; ANALYTIC METHOD; ANALYTICAL ERROR; ANALYTICAL PARAMETERS; ARTICLE; BAYES THEOREM; CARCINOMA CELL; COLON ADENOMA; COLON CANCER; CONTROLLED STUDY; DATA ANALYSIS; DISEASE ASSOCIATION; DNA MICROARRAY; EMPIRICISM; GENE EXPRESSION; GENE NUMBER; HUMAN; HUMAN CELL; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SENSITIVITY AND SPECIFICITY; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; TISSUE TYPES;

EID: 1042304217     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btg396     Document Type: Article

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