Cancer Systems Biology
eBook - PDF

Cancer Systems Biology

  1. 456 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Cancer Systems Biology

Book details
Table of contents
Citations

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, 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

Publisher
CRC Press
Year
2010
ISBN
9781439811863
Edition
1
Topic
Computer Science
Subtopic
Programming Games
Index
Computer Science

Table of contents

  1. Front cover
  2. Table of Contents
  3. Foreword
  4. Preface
  5. About the Editor
  6. Contributors
  7. Section I. Cancer Systems Biology: Concepts and Applications
  8. Chapter 1. A Roadmap of Cancer Systems Biology
  9. Chapter 2. Network Biology, the Framework of Systems Biology
  10. Chapter 3. Reconstructing Gene Networks Using Gene Expression Profiles
  11. Chapter 4. Understanding Cancer Progression in Protein Interaction Networks
  12. Chapter 5. From Tumor Genome Sequencing to Cancer Signaling Maps
  13. Chapter 6. Ubiquitin-Mediated Regulation of Human Signaling Networks inNormal and Cancer Cells
  14. Chapter 7. microRNA Regulation of Networks of Normal and Cancer Cells
  15. Chapter 8. Network Model of Survival Signaling inT-Cell Large Granular Lymphocyte Leukemia
  16. Chapter 9. Cancer Metabolic Networks
  17. Chapter 10. Warburg Revisited
  18. Chapter 11. Cancer Gene Prediction Using a Network Approach
  19. Section II. Cancer Biology: Basic Concepts and Cutting-Edge Topics
  20. Chapter 12. Cancer Genomics to Cancer Biology
  21. Chapter 13. Epithelial-to-Mesenchymal Transition (EMT)
  22. Chapter 14. Tumors and Their Microenvironments
  23. Chapter 15. Tumor Angiogenesis
  24. Section III. Data Resources and Software Tools for Cancer Systems Biology
  25. Chapter 16. Modeling Tools for Cancer Systems Biology
  26. Chapter 17. Advanced Visualization, Analysis, and Inference of Biological Networks Using VisANT
  27. Chapter 18. Gene Set and Pathway-Based Analysis for Cancer Omics
  28. Chapter 19. SH2 Domain Signaling Network and Cancer
  29. Chapter 20. Data Sources and Computational Tools for Cancer Systems Biology
  30. Index
  31. Color Insert
  32. Back cover