Software
BGX: a Bioconductor package for the Bayesian integrated analysis of Affymetrix GeneChips
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* Corresponding author: Ernest Turro ernest.turro@ic.ac.uk
1 Centre for Biostatistics, Imperial College London, UK
2 Department of Mathematics, University of Edinburgh, UK
3 Molecular Diagnostic Laboratory, Skejby Hospital, Aarhus University, Denmark
BMC Bioinformatics 2007, 8:439 doi:10.1186/1471-2105-8-439
Published: 12 November 2007Additional files
Additional file 1:
Varying the number of sampling iterations. Plot of mean posterior values of μg obtained 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.
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Additional file 2:
R script to reproduce plots. R script to reproduce the plots in this paper.
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