Systems Biomedicine
eBook - ePub

Systems Biomedicine

Concepts and Perspectives

  1. 448 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Systems Biomedicine

Concepts and Perspectives

Book details
Table of contents
Citations

About This Book

Systems biology is a critical emerging field that quantifies and annotates the complexity of biological systems in order to construct algorithmic models to predict outcomes from component input. Applications in medicine are revolutionizing our understanding of biological processes and systems.

Systems Biomedicine is organized around foundations, computational modeling, network biology, and integrative biology, with the extension of examples from human biology and pharmacology, to focus on the applications of systems approaches to medical problems. An integrative approach to the underlying genomic, proteomic, and computational biology principles provides researchers with guidance in the use of qualitative systems and hypothesis generators. To reflect the highly interdisciplinary nature of the field, careful detail has been extended to ensure explanations of complex mathematical and biological principles are clear with minimum technical jargon.

  • Organized to reflect the important distinguishing characteristics of systems strategies in experimental biology and medicine
  • Provides precise and comprehensive measurement tools for constructing a model of the system and tools for defining complexity as an experimental dependent variable
  • Includes a thorough discussion of the applications of quantitative principles to biomedical problems

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Systems Biomedicine by Edison T. Liu,Douglas A. Lauffenburger in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Year
2009
ISBN
9780080919836

Table of contents

  1. Cover image
  2. Table of Contents
  3. Copyright
  4. Overview
  5. Chapter 1. Foundations for Systems Biomedicine
  6. Chapter 2. Genomic Technologies for Systems Biology
  7. Chapter 3. Proteomics Technologies
  8. Chapter 4. Cellular Regulatory Networks
  9. Part I. Transcriptional Networks
  10. Part II. Protein Phosphorylation Networks
  11. Chapter 5. The Interface of MicroRNAs and Transcription Factor Networks
  12. Chapter 6. Protein Networks in Integrin-Mediated Adhesions
  13. Chapter 7. Systems Biology and Stem Cell Biology
  14. Chapter 8. Computational Challenges in Systems Biology
  15. Chapter 9. High-level Modeling of Biological Networks
  16. Chapter 10. Systems Analysis for Systems Biology
  17. Chapter 11. The Virtual Cell Project
  18. Chapter 12. Software Tools for Systems Biology
  19. Chapter 13. Physiome Mark-up Languages for Systems Biology
  20. Chapter 14. Systems Approaches to Developmental Patterning
  21. Chapter 15. Applications of Immunologic Modeling to Drug Discovery and Development
  22. Chapter 16. Systems Pharmacology in Cancer
  23. Chapter 17. Systems Biology in Drug Discovery
  24. Chapter 18. Quantitative Biology and Clinical Trials
  25. Index