A Statistical Calibration Method based on Non-Linear Mixed Model for Affymetrix Probe Level Data

Mariantonietta Ruggieri; Luigi Augugliaro; Angelo Mineo

A Statistical Calibration Method based on Non-Linear Mixed Model for Affymetrix Probe Level Data

Mariantonietta Ruggieri, Luigi Augugliaro, Angelo Mineo

Scienze Economiche, Aziendali e Statistiche

Risultato della ricerca: Other

Abstract

Gene expression microarrays allow a researcher to measure the simultaneousresponse of thousands of genes to external conditions. Affymetrix GeneChipr expressionarray technology has become a standard tool in medical research. Anyway, a preprocessingstep is usually necessary in order to obtain a gene expression measure. Aim of thispaper is to propose a calibration method to estimate the nominal concentration based on anon-linear mixed model. This method is an enhancement of a method proposed in Mineoet al. (2006). The relationship between raw intensities and concentration is obtained byusing the Langmuir isotherm theory.

Lingua originale	English
Pagine	97-100
Stato di pubblicazione	Published - 2007

Accesso al documento

OA Link

Fingerprint Entra nei temi di ricerca di 'A Statistical Calibration Method based on Non-Linear Mixed Model for Affymetrix Probe Level Data'. Insieme formano una fingerprint unica.

Cita questo

@conference{d3c184cd62c2490aa7bc656dd3549f83,

title = "A Statistical Calibration Method based on Non-Linear Mixed Model for Affymetrix Probe Level Data",

abstract = "Gene expression microarrays allow a researcher to measure the simultaneousresponse of thousands of genes to external conditions. Affymetrix GeneChipr expressionarray technology has become a standard tool in medical research. Anyway, a preprocessingstep is usually necessary in order to obtain a gene expression measure. Aim of thispaper is to propose a calibration method to estimate the nominal concentration based on anon-linear mixed model. This method is an enhancement of a method proposed in Mineoet al. (2006). The relationship between raw intensities and concentration is obtained byusing the Langmuir isotherm theory.",

author = "Mariantonietta Ruggieri and Luigi Augugliaro and Angelo Mineo",

year = "2007",

language = "English",

pages = "97--100",

}

TY - CONF

T1 - A Statistical Calibration Method based on Non-Linear Mixed Model for Affymetrix Probe Level Data

AU - Ruggieri, Mariantonietta

AU - Augugliaro, Luigi

AU - Mineo, Angelo

PY - 2007

Y1 - 2007

N2 - Gene expression microarrays allow a researcher to measure the simultaneousresponse of thousands of genes to external conditions. Affymetrix GeneChipr expressionarray technology has become a standard tool in medical research. Anyway, a preprocessingstep is usually necessary in order to obtain a gene expression measure. Aim of thispaper is to propose a calibration method to estimate the nominal concentration based on anon-linear mixed model. This method is an enhancement of a method proposed in Mineoet al. (2006). The relationship between raw intensities and concentration is obtained byusing the Langmuir isotherm theory.

AB - Gene expression microarrays allow a researcher to measure the simultaneousresponse of thousands of genes to external conditions. Affymetrix GeneChipr expressionarray technology has become a standard tool in medical research. Anyway, a preprocessingstep is usually necessary in order to obtain a gene expression measure. Aim of thispaper is to propose a calibration method to estimate the nominal concentration based on anon-linear mixed model. This method is an enhancement of a method proposed in Mineoet al. (2006). The relationship between raw intensities and concentration is obtained byusing the Langmuir isotherm theory.

UR - http://hdl.handle.net/10447/8840

M3 - Other

SP - 97

EP - 100

ER -