Models and methods used in the analysis of microarray expression data - Towards the identification of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome

Modern biology extensively deals with high throughput gene expression data. Although these datasets provide information about the expression of thousands of transcripts, the extraction of information desired by the researcher is a challenging task. Up to now, a variety of different analysis methods and tools have been developed. This book provides an overview of the mechanisms of gene regulation and discusses several of the expression data analysis methods based on the underlying model conceptions. On the basis of three different case studies, distinct analysis approaches are presented and comprehensive discussion of the results is provided.

About the author

Dominik Lutter was born in Nairobi, Kenia in November 1977.Duringhis studies at the University of Regensburg he focused on botany,zoology and bioinformatics. He obtained a PhD degree in Biologyin 2009. Currently, he is working as a postdoctoral researcher atthe Institute of Bioinformatics and Systems biology of theHelmholtz Zentrum München.

Product details

• Authors: Dominik Lutter
• Publisher: Südwestdeutscher Verlag für Hochschulschriften
• Languages: English, German
• Product format: Paperback / Softback
• Released: 01.01.2010
• EAN: 9783838117638
• ISBN: 978-3-8381-1763-8
• No. of pages: 136
• Weight: 192 g
• Subject: Natural sciences, medicine, IT, technology > Biology > Genetics, genetic engineering