6533b85afe1ef96bd12b97a1
RESEARCH PRODUCT
A statistical calibration model for Affymetrix probe level data
Luigi AugugliaroAngelo Mineosubject
Mixed modelNonlinear systemMeasure (data warehouse)Calibration (statistics)Computer scienceLevel dataPreprocessorAffymetrix GeneChip Operating SoftwareSettore SECS-S/01 - StatisticaAlgorithmCalibration models microarray data pre-processingExpression (mathematics)description
Gene expression microarrays allow a researcher to measure the simultaneous response of thousands of genes to external conditions. Affymetrix GeneChip{ $Ⓡ$} expression array technology has become a standard tool in medical research. Anyway, a preprocessing step is usually necessary in order to obtain a gene expression measure. Aim of this paper is to propose a calibration method to estimate the nominal concentration based on a nonlinear mixed model. This method is an enhancement of a method proposed in Mineo et al. (2006). The relationship between raw intensities and concentration is obtained by using the Langmuir isotherm theory.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-11-25 |