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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 5: Expression and Genetic Variation Databases for Cancer Research
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Citations

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3 Mendeley
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Chapter title
Expression and Genetic Variation Databases for Cancer Research
Chapter number 5
Book title
Cancer Systems Biology, Bioinformatics and Medicine
Published by
Springer, Dordrecht, January 2011
DOI 10.1007/978-94-007-1567-7_5
Book ISBNs
978-9-40-071566-0, 978-9-40-071567-7
Authors

Johan Rung, Alvis Brazma

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Agricultural and Biological Sciences 1 33%