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Statistics and Informatics in Molecular Cancer Research$
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Carsten Wiuf and Claus L. Andersen

Print publication date: 2009

Print ISBN-13: 9780199532872

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780199532872.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 23 September 2021

Bioinformatics of gene expression and copy number data integration

Bioinformatics of gene expression and copy number data integration

Chapter:
(p.78) 4 Bioinformatics of gene expression and copy number data integration
Source:
Statistics and Informatics in Molecular Cancer Research
Author(s):

Outi Monni

Sampsa Hautaniemi

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199532872.003.0004

This chapter discusses methods to measure and integrate microarray-based copy number and gene expression data. It is well-known that gene copy number alterations are a key factor in cancer development and progression. Especially gene amplification is known to be important mechanism for the cancer cells to increase expression of cellular proto-oncogenes. Thus, systematic identification of genes with elevated copy number and gene expression levels is important in discovery of potential therapeutic target genes in human cancers. Here, the chapter reviews the main methods to measure genome-wide copy number and gene expression levels. The main aim is to describe systematic computational data analysis approaches for integrating high-throughput copy number and gene expression data.

Keywords:   data integration, statistical analysis, cancer genetics, high-throughput data analysis, gene amplification, gene expression profiling

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