Home > Subject index > Mathematics > Table of contents
Subject: Mathematics  Book Title: Statistics and Informatics in Molecular Cancer Research
Statistics and Informatics in Molecular Cancer Research
Wiuf, Carsten (Editor), Bioinformatics Research Center, University of Aarhus
Andersen, Claus L. (Editor), Molecular Diagnostic Laboratory, University of Aarhus
Print publication date: 2009
Published to Oxford Scholarship Online: September 2009
Print ISBN-13: 978-0-19-953287-2
doi:10.1093/acprof:oso/9780199532872.001.0001


 
Abstract: This book discusses novel advances in informatics and statistics in molecular cancer research. Through eight chapters it discusses specific topics in cancer research, talks about how the topics give rise to development of new informatics and statistics tools, and explains how the tools can be applied. The focus of the book is to provide an understanding of key concepts and tools, rather than focusing on technical issues. A main theme is the extensive use of array technologies in modern cancer research — gene expression and exon arrays, SNP and copy number arrays and methylation arrays — to derive quantitative and qualitative statements about cancer, its progression and aetiology, and to understand how these technologies at one hand allow us learn about cancer tissue as a complex system and at the other hand allow us to pinpoint key genes and events as crucial for the development of the disease. Cancer is characterized by genetic and genomic alterations that influence all levels of the cell's machinery and function.

Keywords: cancer, informatics, array technology, gene expression, copy number, methylation, pathways
Table of Contents
Preface
You have access to the full text for this item.
1. Association studies
You have access to the abstract and full text for this item.      You have access to the full text for this item.
2. Methods for DNA copy number derivations
You have access to the abstract and full text for this item.      You have access to the full text for this item.
3. Methods for derivation of LOH and allelic copy numbers using SNP arrays
You have access to the abstract and full text for this item.      You have access to the full text for this item.
4. Bioinformatics of gene expression and copy number data integration
You have access to the abstract and full text for this item.      You have access to the full text for this item.
5. Analysis of DNA methylation in cancer
You have access to the abstract and full text for this item.      You have access to the full text for this item.
6. Pathway analysis: Pathway signatures and classification
You have access to the abstract and full text for this item.      You have access to the full text for this item.
7. Two methods for comparing genomic data across independent studies in cancer research: Meta-analysis and oncomine concepts map
You have access to the abstract and full text for this item.      You have access to the full text for this item.
8. Bioinformatic approaches to the analysis of alternative splicing variants in cancer biology
You have access to the abstract and full text for this item.      You have access to the full text for this item.
Index
You have access to the full text for this item.





 
doi:10.1093/acprof:oso/9780199532872.001.0001



Quick Search Form

 
scroll up fast
scroll up
 
scroll down
scroll down fast