Statistics and informatics in molecular cancer research /
[Book]
edited by Carsten Wiuf, Claus L. Andersen.
New York :
Oxford University Press,
2009.
xii, 196 pages :
illustrations (some color) ;
25 cm
Includes bibliographical references and index.
Association studies / Emily Webb and Richard Houlston -- Methods of DNA copy number derivations / Cameron Brennan -- Methods for derivation of LOH and allelic copy numbers using SNP arrays / Carsten Wiuf, Philippe Lamy and Claus L. Andersen -- Bioinformatics of gene expression and copy number data integration / Outi Monni and Sampsa Hautaniemi -- Analysis of DNA methylation in cancer / Fabian Model [and others] -- Pathway analysis: Pathway signatures and classification / Ming Yi and Robert M. Stephens -- Two methods for comparing genomic data across independent studies in cancer research: Meta-analysis and oncomine concepts map / Wendy Lockwood Banka, Matthew J. Anstett and Daniel R. Rhodes -- Bioinformatic approaches to the analysis of alternative splicing variants in cancer biology / Lue Ping Zhao, Jessica Andriesen and Wenhong Fan.
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Molecular understanding of cancer and cancer progression is at the forefront of many research programs today, and high-throughput array technologies and other modern molecular techniques produce a wealth of molecular data about the stucture, organization, and function of cells, tissues and organisms. Complex mathematical, statistical and bioinformatics tools are required to extract, handle and process data and this book, edited by two leading researchers with contributions from carefully chosen experts, makes these tools available to a wide range of researchers, in a single coherent book volume.
Cancer-- Molecular aspects-- Research-- Data processing.