A Bayesian calibration model for combining different pre-processing methods in Affymetrix chips.

ABSTRACT:

Background

In gene expression studies a key role is played by the so called "pre-processing", a series of steps designed to extract the signal and account for the sources of variability due to the technology used rather than to biological differences between the RNA samples. At the moment there is no commonly agreed gold standard pre-processing method and each researcher has the responsibility to choose one method, incurring the risk of false positive and false negative features arising from the particular method chosen.

Results

We propose a Bayesian calibration model that makes use of the information provided by several pre-processing methods and we show that this model gives a better assessment of the 'true' unknown differential expression between two conditions. We demons

SUBMITTER: Blangiardo M 

PROVIDER: S-EPMC2639433 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature