Authors:
- This book presents a pioneering technique for analyzing metabolites
- Explores the metabolome as the closest entity to the phenotype of a biological system
- A useful tool for introducing metabolomics to the cancer research community
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Systems Biology (BRIEFSBIOSYS)
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Table of contents (6 chapters)
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Front Matter
About this book
Authors and Affiliations
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Centre for Metabolomics and Bioanalysis, Universidad San Pablo CEU, Boadilla del Monte, Spain
Emily G. Armitage
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University of Manchester Manchester Institute of Biotechnology, Manchester, United Kingdom
Helen L. Kotze
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University of Manchester, Manchester Pharmacy School, Manchester Cancer Research Centre, Manchester, United Kingdom
Kaye J. Williams
Bibliographic Information
Book Title: Correlation-based network analysis of cancer metabolism
Book Subtitle: A new systems biology approach in metabolomics
Authors: Emily G. Armitage, Helen L. Kotze, Kaye J. Williams
Series Title: SpringerBriefs in Systems Biology
DOI: https://doi.org/10.1007/978-1-4939-0615-4
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Authors 2014
Softcover ISBN: 978-1-4939-0614-7Published: 12 May 2014
eBook ISBN: 978-1-4939-0615-4Published: 12 May 2014
Series ISSN: 2193-4746
Series E-ISSN: 2193-4754
Edition Number: 1
Number of Pages: VI, 61
Number of Illustrations: 7 b/w illustrations, 13 illustrations in colour
Topics: Systems Biology, Metabolomics, Cancer Research