Bayesian analysis of gene expression data

The goal of this book is to provide an introduction to both Bayesian methods and gene expression, accessible to people with backgrounds in either. There iscurrently no book at this level that provides such an introduction. The book is split into four parts, Part I introducing the fundamentals of Bayesian statistics, both modeling and computation. Part II builds on this, providing a more detailed introduction to the computational methods necessary for Bayesian statistics. Part III presents an introduction to the basic biology needed to work with microarrays, written specifically to enable those readers with no experience in the laboratory to understand. Part IV elaborates extensively on applications, including advanced topics for Bioinformatics research. The text is enhanced by the inclusion of numerous problems and solutions, designed with an emphasis on methodology and application. There will also be a supplementary website including the relevant software and further datasets. Extensive referencing is also included, both of traditional print-based media, as well as web-based media, short films, and popular database servers, the use of which is becoming increasingly more routine. Having provided the reader with the introduction to the area, this will allow them to pursue specific, applied avenues of further study.

• ISBN: 978-0-470-51766-6
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 256
• Fecha Publicación: 24/07/2009
• Nº Volúmenes: 1
• Idioma: Inglés