Diabetes Systems Biology: Quantitative methods for understanding beta-cell dynamics and function (Biophysical Society-IOP Series) (Original PDF from Publisher)

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byAnmar Khadra(Editor), Hassan Jamaleddine(Contributor), Chiara Dalla Man(Contributor), Morten Gram Pedersen(Contributor), Anita Layton(Contributor), Rui Hu(Contributor), Francesco Montefusco(Contributor), Alessia Tagliavini(Contributor), Giuliana Cortese(Contributor), Margaret Watts(Contributor), Xujing Wang(Contributor), Shouguo Gao(Contributor), I. Johanna Stamper(Contributor), Soumitra Ghosh(Contributor), Nathaniel Wolanyk(Contributor), Junghyo Jo(Contributor), Leslie S. Satin(Contributor), Arthur Sherman(Contributor)&15moreFormat: Kindle Edition Diabetes Systems Biology provides senior undergraduate students and junior scientists, interested in diabetes systems biology, with a tool to learn more about the mathematical models and methods used to understand macroscopically and microscopically beta-cell behaviour in health and disease. The book introduces readers to the quantitative methods used to examine beta-cell dynamics, islet biology and architecture, as well…

SKU: MED-AMB139574
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Description

Diabetes Systems Biology provides senior undergraduate students and junior scientists, interested in diabetes systems biology, with a tool to learn more about the mathematical models and methods used to understand macroscopically and microscopically beta-cell behaviour in health and disease. The book introduces readers to the quantitative methods used to examine beta-cell dynamics, islet biology and architecture, as well as diabetes etiology and implications. The goal is to allow junior researchers in the fields of mathematical biology and biophysics to obtain a broad understanding of these quantitative methods, and guide them into taking the first steps into the field of diabetes systems biology. At the end of each chapter, several problem-solving exercises (that require both analytical and computational skills) are provided for the readers to help them become more proficient in this field.

Key Features

  • Comprehensive overview of all relevant aspects of diabetes systems biology and biological mathematical modelling
  • Covers quantitative aspects of this discipline with embedded examples
  • Features contributions from world-class researchers in the field
  • Provides extensive references for further reading
  • Includes problem solving exercises at the end of each chapter

Product Details

  • ASIN:B08Q3P5DDL
  • Publisher:Institute of Physics Publishing (December 9, 2020)
  • Publication date:December 9, 2020
  • Language::English
  • File size:11804 KB
  • Text-to-Speech:Enabled
  • Enhanced typesetting:Enabled
  • X-Ray:Not Enabled
  • Word Wise:Not Enabled
  • Print length:430 pages
  • Lending:Not Enabled
  • ISBN: 978-0750337373
  • Print ISBN: 9780750337373
  • eText ISBN: 1730750337397

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