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Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach

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Cover of 'Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach'

Table of Contents

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    Book Overview
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    Chapter 1 Cancer Biology and Its Treatment Modalities: A Brief Historical Perspective
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    Chapter 2 Emerging Peptide-Based Technologies in Cancer Therapy
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    Chapter 3 Protein Palmitoylation in Cancer
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    Chapter 4 Advances in Mass Spectrometry-Based Proteomics and Its Application in Cancer Research
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    Chapter 5 Apoptosis in Cancer Cell Signaling and Current Therapeutic Possibilities
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    Chapter 6 Integration of Evolutionary Theory into Cancer Biology and Caspase Signaling
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    Chapter 7 Emerging Epigenetic Targets and Their Implications in Cancer Therapy
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    Chapter 8 Anticancer Immunotherapy: Prospects and Challenges
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    Chapter 9 Preclinical Animal Models for Cancer Research and Drug Discovery
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    Chapter 10 Dysregulated Signaling Pathways in Cancer: Approaches and Applications
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    Chapter 11 Analysing Cancer Signalling Pathways: A Structural Bioinformatics Approach
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    Chapter 12 Targeting Cancer from a Structural Biology Perspective
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    Chapter 13 Applications of NMR in Cancer Research
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    Chapter 14 Proteomics for Cancer: Approaches and Challenges
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    Chapter 15 Applications of Microarray in Cancer Cell Signaling Pathways
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    Chapter 16 Nanotechnology: The Future for Cancer Treatment
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    Chapter 17 Preclinical Non-invasive Imaging in Cancer Research and Drug Discovery: An Overview
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    Chapter 18 Genomic Applications and Insights in Unravelling Cancer Signalling Pathways
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    Chapter 19 Applications of Computational Systems Biology in Cancer Signaling Pathways
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    Chapter 20 New Emerging Molecules in Cancer Research Which Hold Promise in Current Era
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Title
Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach
Published by
Springer Singapore, December 2019
DOI 10.1007/978-981-32-9816-3
ISBNs
978-9-81-329815-6, 978-9-81-329816-3
Editors

Bose, Kakoli, Chaudhari, Pradip

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X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Bachelor 3 12%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Professor 2 8%
Other 3 12%
Unknown 6 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 20%
Engineering 3 12%
Medicine and Dentistry 3 12%
Physics and Astronomy 2 8%
Agricultural and Biological Sciences 1 4%
Other 5 20%
Unknown 6 24%