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Statistics and Informatics in Molecular Cancer Research
Carsten Wiuf and Claus L. Andersen
208 pages
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54 line illustrations
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234x156mm
978-0-19-953287-2
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Hardback
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18 June 2009
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- Contributions from leading experts
- Assumes little prior biological knowledge
- Clear, non-technical exposition
Molecular understanding of cancer and cancer progression is at the forefront of many research programs today. High-throughput array technologies and other modern molecular techniques produce a wealth of molecular data about the structure, and function of cells, tissues, and organisms. Correctly analyzed and interpreted these data hold the promise of bringing new markers for prognostic and diagnostic use, for new treatment schemes, and of gaining new biological insight into the evolution of cancer and its molecular, pathological, and clinical consequences.
Aimed at graduates and researchers, this book discusses novel advances in informatics and statistics in
molecular cancer research. Through eight chapters from carefully chosen experts it brings the reader up to date with specific topics in cancer research, how the topics give rise to development of new informatics and statistics tools, and how the tools can be applied. The focus of the book is to give the reader 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 on one hand allow us learn about cancer tissue as a complex system and on
the other hand allow us to pinpoint key genes and events as crucial for the development of the disease.Readership: Graduate students and researchers in bioscience, bioinformatics, medicine, biology, and statistics
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Carsten Wiuf, Bioinformatics Research Center, University of Aarhus, and Claus L. Andersen, Molecular Diagnostic Laboratory, University of Aarhus Contributors:
C. Brennan
Z. Szallasi
C.L. Andersen and C. Wiuf
R. Houlston and E. Webb
R.M. Stephens and M. Yi
F. Model, J. Lewin, G. Weiss and C. Lofton-Day
O. Monni and S. Hautaniemi
D. Rhodes, M. Anstett and W. Banka
L.P. Zhao, J.G. Andriesen
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Preface
1: Emily Webb and Richard Houlston: Association Studies
2: Cameron Brennan: Methods for DNA Copy Number Derivations
3: Carsten Wiuf, Philippe Lamy, and Claus L Andersen: Methods for Derivation of LOH and Allelic Copy Numbers Using SNP Arrays
4: Outi Monni and Sampsa Hautaniemi: Bioinformatics of gene expression and copy number data integration
5: Fabian Model, Jörn Lewin, Catherine Lofton-Day, and Gunter Weiss: Analysis of DNA Methylation in Cancer
6: Ming Yi and Robert M Stephens: Pathway Analysis: Pathway Signatures and Classification
7: Wendy Lockwood Banka, Matthew J Anstett, and Daniel R Rhodes: Two Methods for Comparing Genomic Data Across Independent Studies in Cancer Research: Meta-analysis and Oncomine Concepts Map
8: Lue Ping Zhao and Jessica Andriesen: Bioinformatic Approaches to the Analysis of Alternative Splicing Variants in Cancer Biology
Index
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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