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Systems Biology in Cancer Research and Drug Discovery [Hardcover]

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  • Category: Books (Medical)
  • ISBN-10:  9400748183
  • ISBN-10:  9400748183
  • ISBN-13:  9789400748187
  • ISBN-13:  9789400748187
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  423
  • Pages:  423
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-2012
  • Pub Date:  01-Feb-2012
  • SKU:  9400748183-11-SPRI
  • SKU:  9400748183-11-SPRI
  • Item ID: 100993364
  • List Price: $169.99
  • Seller: ShopSpell
  • Ships in: 5 business days
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  • Delivery by: Jul 16 to Jul 18
  • Notes: Brand New Book. Order Now.

Systems Biology in Cancer Research and Drug Discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways (iii) in unwinding microRNAs complexity and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer.

A collation of chapters from the worlds leading experts in systems biology, this new publication traces its applications to cancer research and focuses on the use of the latest integrated and systems technologies in drug development and personalized medicine.

Preface. PART I?Systems Biology in Cancer.1 Systems Biology Approach to Metabolomics in Cancer Studies.2 System Biology Approach to Study Cancer Related Pathway.3 Modeling Oncogenic Signaling Networks from Gene Expression Dynamics.4 An Integrated Systems Approach to the Study of Pancreatic Cancer.5 Protein Microarray: an Ideal Platform for Systems Biology.6 Systems Biology of Pancreatic Cancer: the Role of Tumor-Microenvironment communication in Development, Progression and Therapy Resistance.PART II?Systems Approaches to understand cancer Progression.7 Understandló[

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