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Systems Biology in Cancer Research and Drug Discovery

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Table of Contents

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    Book Overview
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    Chapter 1 Systems Biology Approach to Metabolomics in Cancer Studies
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    Chapter 2 System Biology Approach to Study Cancer Related Pathways
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    Chapter 3 Modeling Oncogenic Signaling Networks from Gene Expression Dynamics
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    Chapter 4 An Integrated Systems Approach to the Study of Pancreatic Cancer
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    Chapter 5 Protein Microarray: An Ideal Platform for Systems Biology
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    Chapter 6 Systems Biology of Pancreatic Cancer: The Role of Tumor-Microenvironment Communication in Development, Progression and Therapy Resistance
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    Chapter 7 Understanding Cancer Progression Using Protein Interaction Networks
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    Chapter 8 Understanding the Dynamics of Tumor Angiogenesis: A Systems Biology Approach
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    Chapter 9 Applications of Network Bioinformatics to Cancer Angiogenesis
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    Chapter 10 Human MicroRNA Targetome Indicates a Specialized Role of MicroRNAs in Regulation of Oncogenesis
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    Chapter 11 Novel and Alternative Bioinformatics Approaches to Understand miRNA-mRNA Interactome in Cancer Research
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    Chapter 12 Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA-Target Dysregulated Network
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    Chapter 13 Development and Clinical Implementation of Reverse Phase Protein Microarrays for Protein Network Activation Mapping: Personalized Cancer Therapy
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    Chapter 14 The Principle of Rational Design of Drug Combination and Personalized Therapy Based on Network Pharmacology
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    Chapter 15 Relevance of Network Hierarchy in Cancer Drug-Target Selection
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    Chapter 16 Computational Infrastructures for Large-Scale Data Access and Analysis in Post-Genomic Clinical Trials
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    Chapter 17 Network Pharmacology: An Emerging Area in Anti-Cancer Drug Discovery
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    Chapter 18 Erratum: Chapter 17 Network Pharmacology: An Emerging Area in Anti-Cancer Drug Discovery
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Systems Biology in Cancer Research and Drug Discovery
Published by
Springer Netherlands, January 2012
DOI 10.1007/978-94-007-4819-4
978-9-40-074818-7, 978-9-40-074819-4, 978-9-40-079435-1

Asfar S Azmi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Brazil 1 1%
Czechia 1 1%
Canada 1 1%
United Kingdom 1 1%
Spain 1 1%
Iran, Islamic Republic of 1 1%
Unknown 69 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Researcher 13 17%
Student > Master 11 14%
Student > Postgraduate 7 9%
Student > Doctoral Student 6 8%
Other 11 14%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 26%
Biochemistry, Genetics and Molecular Biology 10 13%
Computer Science 9 12%
Medicine and Dentistry 8 10%
Engineering 5 6%
Other 11 14%
Unknown 14 18%