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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: 18 September 2021

Pathway analysis: Pathway signatures and classification

Pathway analysis: Pathway signatures and classification

Chapter:
(p.132) 6 Pathway analysis: Pathway signatures and classification
Source:
Statistics and Informatics in Molecular Cancer Research
Author(s):

Ming Yi

Robert M. Stephens

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199532872.003.0006

Although the use of DNA microarrays and other high throughput (HTP) technologies is increasingly widespread and affordable, retrieval and interpretation of underlying biological themes from HTP data remains a major challenge in the area of systems biology. In recent years, pathway analysis has emerged as a category of promising analysis methods for HTP data, which is getting more and more attention in genomics and other ‘omics’ fields in both academic and industrial settings. This chapter focuses specifically on pathway-based analysis of HTP data. First, a brief overview of pathway analysis concepts and methodologies is provided. Then, the evolution from gene signatures to pathway signatures is described focusing on the recent development of applications of pathways to the classification of a phenotype of interest using HTP data.

Keywords:   pathway analysis, gene signatures, visualization, classifier, biological network, class prediction, regulatory network, pathway signature, integrative discovery

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