ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments

Author： Nueda Maria j.   Ferrer Alberto   Conesa Ana  

Publisher： Oxford University Press

ISSN： 1465-4644

Source： Biostatistics, Vol.13, Iss.3, 2012-07, pp. : 553-566

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Factorial and time course designs for cDNA microarray experiments

By Glonek G. F. V.   Solomon* P. J.  

Biostatistics, Vol. 5, Iss. 1, 2004-01 ,pp. : 89-111

Oxford University Press

Access to resources Recommend Favorite

A nonparametric approach to the analysis of longitudinal data via a set of level crossing problems with application to the analysis of microarray time course experiments

By Reilly Cavan  

Biostatistics, Vol. 6, Iss. 2, 2005-04 ,pp. : 271-278

Oxford University Press

Access to resources Recommend Favorite

A Laplace mixture model for identification of differential expression in microarray experiments

By Bhowmick Debjani   Davison AC   Goldstein Darlene R.   Ruffieux Yann  

Biostatistics, Vol. 7, Iss. 4, 2006-10 ,pp. : 630-641

Oxford University Press

Access to resources Recommend Favorite

Gene profiling for determining pluripotent genes in a time course microarray experiment

By Tuke J.   Glonek G. F. V.   Solomon P. J.  

Biostatistics, Vol. 10, Iss. 1, 2009-01 ,pp. : 80-93

Oxford University Press

Access to resources Recommend Favorite

A time course study about gene expression of post‐thermal injury with DNA microarray

By  

INTERNATIONAL JOURNAL OF DERMATOLOGY, Vol. 54, Iss. 7, 2015-07 ,pp. : 757-764

John Wiley & Sons Inc

Access to resources Recommend Favorite