Literature DB >> 15208182

A bayesian hierarchical model for the analysis of Affymetrix arrays.

Mahlet G Tadesse1, Joseph G Ibrahim.   

Abstract

An area of active research in DNA microarray analysis focuses on identifying differentially expressed genes between normal and malignant tissues. The analysis is complicated by the presence of several unreliable expression readings. Here, we illustrate a methodology where the expression estimates are modeled as censored data and discriminating genes are selected using ANOVA-based criteria.

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Year:  2004        PMID: 15208182     DOI: 10.1196/annals.1310.006

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  2 in total

1.  Comments on 'Bayesian hierarchical error model for analysis of gene expression data'.

Authors:  Xiao-Lin Wu; Larry J Forney; Paul Joyce
Journal:  Bioinformatics       Date:  2006-05-26       Impact factor: 6.937

2.  New methods to analyse microarray data that partially lack a reference signal.

Authors:  Neeltje Carpaij; Ad C Fluit; Jodi A Lindsay; Marc Jm Bonten; Rob Jl Willems
Journal:  BMC Genomics       Date:  2009-11-13       Impact factor: 3.969

  2 in total

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