Programmed by
by Casper J. Albers#, Ritsert C. Jansen, Jan Kok, Oscar P. Kuipers, and Sacha A.F.T. van Hijum# # Both authors contributed equally
Simulation of DNA microarray data allows a researcher to avail of as many datasets
as required to test e.g. statistical methods for differential expression. In
experimentally obtained DNA microarray data the actual (differential) gene expressions
are either unknown or only estimated. Simulated DNA microarray data contain genes with
(differential) expressions known beforehand. The latter makes simulated DNA microarray
data a valuable addition to experimentally obtained DNA microarray data for the validation
of new DNA microarray data analysis methods. SIMAGE features a sophisticated and realistic
model to simulate DNA microarray data.
Bug-fix (21st of July 2008): with help of Jenny Drnevich we discovered a minor bug in the gene expression filter.
This bug has been fixed in the current version of SIMAGE.
Due to this bug, the noise added to the gene expressions was nullified for genes with an expression larger than the mu gene.
We verified that this bug-fix does not have any significant influence on the results presented in our manuscript.
