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Cancer Systems Biology, Bioinformatics and Medicine

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Cover of 'Cancer Systems Biology, Bioinformatics and Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Systems Approaches to Cancer
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    Chapter 2 Cancer: Clinical Background and Key Challenges
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    Chapter 3 Global Molecular and Cellular Measurement Technologies
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    Chapter 4 Cell Lines, Tissue Samples, Model Organisms, and Biobanks: Infrastructure and Tools for Cancer Systems Biology
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    Chapter 5 Expression and Genetic Variation Databases for Cancer Research
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    Chapter 6 Education and Research Infrastructures
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    Chapter 7 Mathematical Tools in Cancer Signalling Systems Biology
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    Chapter 8 Computational Tools for Systems Biology
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    Chapter 9 The Hallmarks of Cancer Revisited Through Systems Biology and Network Modelling
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    Chapter 10 Systems Biology Analysis of Cell Death Pathways in Cancer: How Collaborative and Interdisciplinary Research Helps
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    Chapter 11 Systems Biology, Bioinformatics and Medicine Approaches to Cancer Progression Outcomes
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    Chapter 12 System Dynamics at the Physiological and Tumour Level
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    Chapter 13 Diagnostic and Prognostic Cancer Biomarkers: From Traditional to Systems Approaches
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    Chapter 14 Systems Biology Approaches to Cancer Drug Development
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    Chapter 15 Circadian Rhythms and Cancer Chronotherapeutics
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    Chapter 16 Clinical Applications of Systems Biology Approaches
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    Chapter 17 Cancer Robustness and Therapy Strategies
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    Chapter 18 Synthetic Biology and Perspectives
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    Chapter 19 Conclusions
Attention for Chapter 9: The Hallmarks of Cancer Revisited Through Systems Biology and Network Modelling
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Citations

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Chapter title
The Hallmarks of Cancer Revisited Through Systems Biology and Network Modelling
Chapter number 9
Book title
Cancer Systems Biology, Bioinformatics and Medicine
Published by
Springer, Dordrecht, January 2011
DOI 10.1007/978-94-007-1567-7_9
Book ISBNs
978-9-40-071566-0, 978-9-40-071567-7
Authors

Charles Auffray, Trey Ideker, David J. Galas, Leroy Hood

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 30%
Student > Ph. D. Student 3 30%
Unspecified 1 10%
Professor 1 10%
Student > Master 1 10%
Other 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Medicine and Dentistry 2 20%
Physics and Astronomy 2 20%
Computer Science 1 10%
Unspecified 1 10%
Other 0 0%