A Bayesian method for analysing spotted microarray data

Briefings in Bioinformatics

Volumn 6, Issue 4, 2005, Pages 318-330

  Meiklejohn, Colin D ^a   Townsend, Jeffrey P ^b  

^a BROWN UNIVERSITY   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

Bayesian analysis; cDNA; Experimental design; Gene expression; Markov chain; Microarray; Monte Carlo; Statistical power

Indexed keywords

COMPLEMENTARY DNA; FLUORESCENT DYE; MESSENGER RNA;

ANALYSIS OF VARIANCE; ANALYTICAL ERROR; BAYES THEOREM; COMPUTER PROGRAM; CYBERNETICS; DATA ANALYSIS; DNA HYBRIDIZATION; DNA MICROARRAY; DNA REPLICATION; DROSOPHILA MELANOGASTER; DROSOPHILA SIMULANS; EXPERIMENTAL DESIGN; EXPRESSED SEQUENCE TAG; FALSE POSITIVE RESULT; FLUORESCENCE ANALYSIS; GENE EXPRESSION; INFORMATION RETRIEVAL; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MOLECULAR INTERACTION; MONTE CARLO METHOD; NONHUMAN; PROBABILITY; QUANTITATIVE ANALYSIS; REPRODUCIBILITY; REVIEW; RNA INTERFERENCE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IN SITU HYBRIDIZATION, FLUORESCENCE; MICROSCOPY, FLUORESCENCE; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SOFTWARE;

DROSOPHILA MELANOGASTER; DROSOPHILA SIMULANS;

EID: 30744458073     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/6.4.318     Document Type: Review

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