Phylogenomic Expression Analysis between Duplicate Genes
Microarray technology can simultaneously monitor the expression levels of thousands of genes across many experimental conditions or treatments, providing us with unique opportunities to investigate the evolutionary pattern of gene regulation. This chapter focuses on how to model the evolution of gene family expression with three goals: (i) statistical methods such as the likelihood ratio test can be applied for exploring the evolutionary pattern of gene expression; (ii) evolutionary tracing of expression changes can be predicted by the Bayesian method; and (iii) the statistical model can be utilized to study the expression-motif association. Several statistical models have been developed, most of which viewed gene expression data as continuous so that the modeling was based on the random-walk (Brownian) model. The chapter discusses these models and their applications.
Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
If you think you should have access to this title, please contact your librarian.