Bayesian normalization and identification for differential gene expression data

Journal of Computational Biology

Volumn 12, Issue 4, 2005, Pages 391-406

  Zhang, Dabao ^a   Wells, Martin T ^b   Smart, Christine D ^c   Fry, William E ^c  

^a UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

^b Plant Breeding and Genetics Section in the School of Integrative Plant Science   (United States)

^c Department of Obstetrics Gynecology   (United States)

Author keywords

Bayesian analysis; Intensity dependent normalization; Markov chain Monte Carlo; Measurement error model; Spotted microarray

Indexed keywords

ANALYTICAL ERROR; BAYES THEOREM; DNA MICROARRAY; GENE EXPRESSION; GENE IDENTIFICATION; MEASUREMENT; MONTE CARLO METHOD; NONHUMAN; PHYTOPHTHORA INFESTANS; PLANT PATHOGEN INTERACTION; POTATO LATE BLIGHT; PRIORITY JOURNAL; PROBABILITY; REVIEW; STATISTICAL MODEL;

BAYES THEOREM; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; MARKOV CHAINS; MONTE CARLO METHOD;

PHYTOPHTHORA INFESTANS; SOLANUM TUBEROSUM;

EID: 18844436999     PISSN: 10665277     EISSN: None     Source Type: Journal    
DOI: 10.1089/cmb.2005.12.391     Document Type: Review

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