Models and methods used in the analysis of microarray expression data | Towards the identi¿cation of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome

Dominik Lutter

ISBN 10: 3838117638 / ISBN 13: 9783838117638

Published by Südwestdeutscher Verlag für Hochschulschriften AG Co. KG, 2015

About this Item

Models and methods used in the analysis of microarray expression data | Towards the identi¿cation of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome | Dominik Lutter | Taschenbuch | 136 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften AG Co. KG | EAN 9783838117638 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 101073145

Bibliographic Details

• Title: Models and methods used in the analysis of microarray expression data | Towards the identi¿cation of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome
• Publisher: Südwestdeutscher Verlag für Hochschulschriften AG Co. KG
• Publication Date: 2015
• Language: English
• ISBN 10: 3838117638
• ISBN 13: 9783838117638
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 221 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.During his studies at the University of Regensburg he focused on botany, zoology and bioinformatics. He obtained a PhD degree in Biology in 2009. Currently, he is working as a postdoctoral researcher at the Institute of Bioinformatics and Systems biology of the Helmholtz Zentrum München.