Gene expression microarrays allow a researcher to measure the simultane- ous response of thousands of genes to external conditions. Affymetrix GeneChip expression array technology has become a standard tool in medical research. Any- way, 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 nom- inal concentration based on a nonlinear mixed model. This method is an enhance- ment of a method proposed in [13]. The relationship between raw intensities and concentration is obtained by using the Langmuir isotherm theory.
Augugliaro, L., Mineo, A. (2010). A statistical calibration model for Affymetrix probe level data. In F. Palumbo, C. Lauro, M. Greenacre (a cura di), Data analysis and classification: proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica (pp. 121-128). Berlin : Springer.
A statistical calibration model for Affymetrix probe level data
AUGUGLIARO, Luigi;MINEO, Angelo
2010-01-01
Abstract
Gene expression microarrays allow a researcher to measure the simultane- ous response of thousands of genes to external conditions. Affymetrix GeneChip expression array technology has become a standard tool in medical research. Any- way, 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 nom- inal concentration based on a nonlinear mixed model. This method is an enhance- ment of a method proposed in [13]. The relationship between raw intensities and concentration is obtained by using the Langmuir isotherm theory.
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