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Hi Yeon-Ki, I am not quite sure what sure what you mean by "single array error model" but I suppose you mean error models for the individual intensities on a spotted cDNA array rather than for their ratios or log-ratios. There are some methods in the limma package for doing single-channel normalization, I am not sure how much that is based on error models (Gordon or Nathalie Thorne may be better in explaing this). The package "vsn" allows to fit variance-stabilizing transformations, which are closely related to error models. The error model used is the two-component error model, i.e. an additive (constant) and a multiplicative (proportional) error component. Best wishes Wolfgang ------------------------------------- Wolfgang Huber Division of Molecular Genome Analysis German Cancer Research Center Heidelberg, Germany Phone: +49 6221 424709 Fax: +49 6221 42524709 Http: www.dkfz.de/abt0840/whuber ------------------------------------- On Tue, 18 Nov 2003 kim750@ggbio.com wrote: > Hi! everyone, > My name is Yeon-Ki Kim. > Recently, single array error model seems to be prevalent in analyzing a > microarray data. Does anyone give me some suggestions whether I can do > this on Bioconductor or if so, how I can do it? > Thanks. > Yeon-Ki Yeon-Ki Kim, Ph.D.