A statistical calibration model for Affymetrix probe level data

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Abstract

Gene expression microarrays allow a researcher to measure the simultane-ous response of thousands of genes to external conditions. Affymetrix GeneChipexpression array technology has become a standard tool in medical research. Any-way, a preprocessing step is usually necessary in order to obtain a gene expressionmeasure. 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 andconcentration is obtained by using the Langmuir isotherm theory.
Lingua originaleEnglish
Titolo della pubblicazione ospiteData analysis and classification: proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica
Pagine121-128
Numero di pagine8
Stato di pubblicazionePublished - 2010

Serie di pubblicazioni

NomeSTUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION

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Augugliaro, L., & Mineo, A. (2010). A statistical calibration model for Affymetrix probe level data. In Data analysis and classification: proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica (pagg. 121-128). (STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION).