A calibration method for estimating absolute expression levels from microarray data.
BACKGROUND
We describe an approach to normalize spotted microarray data, based on a physically motivated calibration model. This model consists of two major components, describing the hybridization of target transcripts to their corresponding probes on the one hand, and the measurement of fluorescence from the hybridized, labeled target on the other hand. The model parameters and error distributions are estimated from external control spikes.


RESULTS
Using a publicly available dataset, we show that our procedure is capable of adequately removing the typical non-linearities of the data, without making any assumptions on the distribution of differences in gene expression from one biological sample to the next. Since our model links target concentration to measured intensity, we show how absolute expression values of target transcripts in the hybridization solution can be estimated up to a certain degree.
Engelen
Kristof
K
BIOI@SCD, Department of Electrical Engineering K.U.Leuven, Kasteelpark Arenberg 10, B-3001 Leuven, Belgium.
Naudts
Bart
B
De Moor
Bart
B
Marchal
Kathleen
K
D000465:Algorithms; D002138:Calibration; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling / Q000379:methods* / Q000592:standards; D017404:In Situ Hybridization, Fluorescence / Q000379:methods* / Q000592:standards; D008957:Models, Genetic; D012016:Reference Values; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity