BGX: a Bioconductor package for the Bayesian integrated analysis of Affymetrix GeneChips

doi:10.1186/1471-2105-8-439

BMC Bioinformatics
Volume 8

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Bochkina N
Hein AMK
Richardson S

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Hein AMK
Richardson S
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BGX: a Bioconductor package for the Bayesian integrated analysis of Affymetrix GeneChips

Ernest Turro¹ , Natalia Bochkina² , Anne-Mette K Hein³ and Sylvia Richardson¹

¹Centre for Biostatistics, Imperial College London, UK

²Department of Mathematics, University of Edinburgh, UK

³Molecular Diagnostic Laboratory, Skejby Hospital, Aarhus University, Denmark

author email corresponding author email

BMC Bioinformatics 2007, 8:439doi:10.1186/1471-2105-8-439


Published:	12 November 2007

Additional files

Additional file 1:

Varying the number of sampling iterations. Plot of mean posterior values of μ_gobtained using a sampling length of 64 k iterations versus those obtained using sampling lengths of 16 k, 32 k and 64 k using an alternative seed for the pseudo random number generator. The values for the 32 k and 64 k comparisons are shifted upwards for clarity. Runs of more than 16 k confer a small increase in stability of estimation for non-expressed genes. At 32 k, estimates are as stable as between two 64 k runs using different seeds.