Gene expression microarrays allow a researcher to measure the simultaneous response of thousands of genes to external conditions. Affymetrix GeneChipr 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 non-linear 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.
MINEO AM, AUGUGLIARO L, FEDE C, RUGGIERI M (2007). A Statistical Calibration Method based on Non-Linear Mixed Model for Affymetrix Probe Level Data. In Cssification and Data Analysis Group - Book of Short Papers (pp.97-100). MACERATA : EUM Edizioni Università di Macerata.
A Statistical Calibration Method based on Non-Linear Mixed Model for Affymetrix Probe Level Data
MINEO, Angelo;AUGUGLIARO, Luigi;RUGGIERI, Mariantonietta
2007-01-01
Abstract
Gene expression microarrays allow a researcher to measure the simultaneous response of thousands of genes to external conditions. Affymetrix GeneChipr 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 non-linear 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.