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 . The relationship between raw intensities andconcentration is obtained by using the Langmuir isotherm theory.
|Titolo della pubblicazione ospite||Data analysis and classification: proceedings of the 6th Conference of the Classification and Data Analysis Group of the Società Italiana di Statistica|
|Numero di pagine||8|
|Stato di pubblicazione||Published - 2010|
Serie di pubblicazioni
|Nome||STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION|
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).