eBook - PDF
Cancer Systems Biology
About this book
The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorgenesis, cancer research is enjoying a series of new discoveries and biological insights. Unique in its dualistic approach, this book introduces the concepts and theories of systems biology and their applications in cancer research. It presents basic cancer biology and cutting-edge topics of cancer research for computational biologists alongside systems biology analysis tools for experimental biologists.
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Yes, you can access Cancer Systems Biology by Edwin Wang in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front cover
- Table of Contents
- Foreword
- Preface
- About the Editor
- Contributors
- Section I. Cancer Systems Biology: Concepts and Applications
- Chapter 1. A Roadmap of Cancer Systems Biology
- Chapter 2. Network Biology, the Framework of Systems Biology
- Chapter 3. Reconstructing Gene Networks Using Gene Expression Profiles
- Chapter 4. Understanding Cancer Progression in Protein Interaction Networks
- Chapter 5. From Tumor Genome Sequencing to Cancer Signaling Maps
- Chapter 6. Ubiquitin-Mediated Regulation of Human Signaling Networks inNormal and Cancer Cells
- Chapter 7. microRNA Regulation of Networks of Normal and Cancer Cells
- Chapter 8. Network Model of Survival Signaling inT-Cell Large Granular Lymphocyte Leukemia
- Chapter 9. Cancer Metabolic Networks
- Chapter 10. Warburg Revisited
- Chapter 11. Cancer Gene Prediction Using a Network Approach
- Section II. Cancer Biology: Basic Concepts and Cutting-Edge Topics
- Chapter 12. Cancer Genomics to Cancer Biology
- Chapter 13. Epithelial-to-Mesenchymal Transition (EMT)
- Chapter 14. Tumors and Their Microenvironments
- Chapter 15. Tumor Angiogenesis
- Section III. Data Resources and Software Tools for Cancer Systems Biology
- Chapter 16. Modeling Tools for Cancer Systems Biology
- Chapter 17. Advanced Visualization, Analysis, and Inference of Biological Networks Using VisANT
- Chapter 18. Gene Set and Pathway-Based Analysis for Cancer Omics
- Chapter 19. SH2 Domain Signaling Network and Cancer
- Chapter 20. Data Sources and Computational Tools for Cancer Systems Biology
- Index
- Color Insert
- Back cover