@inbook{d6e49081a2c04d62b865bfceeb02ac31,
title = "A statistical calibration model for Affymetrix probe level data",
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.",
keywords = "Calibration models, microarray data, pre-processing, Calibration models, microarray data, pre-processing",
author = "Luigi Augugliaro and Angelo Mineo",
year = "2010",
language = "English",
isbn = "978-3-642-03738-2",
series = "STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION",
pages = "121--128",
booktitle = "Data analysis and classification: proceedings of the 6th Conference of the Classification and Data Analysis Group of the Societ{\`a} Italiana di Statistica",
}