Statistical analysis of microarray data: a Bayesian approach

Author： Gottardo* R. Pannucci J.A. Kuske C.R. Brettin T.

ISSN： 1465-4644

Source： Biostatistics, Vol.4, Iss.4, 2003-10, pp. : 597-620

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

BGX: a fully Bayesian integrated approach to the analysis of Affymetrix GeneChip data

By Hein Anne-Mette K.

Biostatistics, Vol. 6, Iss. 3, 2005-07 ,pp. : 349-373

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 Bayesian hierarchical model for identifying epitopes in peptide microarray data

By Arima Serena Lin Jing Pecora Valentina Tardella Luca

Biostatistics, Vol. 13, Iss. 1, 2012-01 ,pp. : 101-112

Oxford University Press

Access to resources Recommend Favorite

Multivariate exploratory tools for microarray data analysis

By Szabo A.

Biostatistics, Vol. 4, Iss. 4, 2003-10 ,pp. : 555-567

Oxford University Press

Access to resources Recommend Favorite

Improving the analysis of routine outcome measurement data: what a Bayesian approach can do for you

INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH (ELECTRONIC), Vol. 25, Iss. 3, 2016-09 ,pp. : 155-167

John Wiley & Sons Inc

Access to resources Recommend Favorite