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 |
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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
1.
Association studies
2.
Methods for DNA copy number derivations
3.
Methods for derivation of LOH and allelic copy numbers using SNP arrays
4.
Bioinformatics of gene expression and copy number data integration
5.
Analysis of DNA methylation in cancer
6.
Pathway analysis: Pathway signatures and classification
7.
Two methods for comparing genomic data across independent studies in cancer research: Meta-analysis and oncomine concepts map
8.
Bioinformatic approaches to the analysis of alternative splicing variants in cancer biology
Index
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