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Diabetes Systems Biology: Quantitative methods for understanding beta-cell dynamics and function

Diabetes Systems Biology: Quantitative methods for understanding beta-cell dynamics and function

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ISBN

978-0750337373, 9780750337373, 1730750337397

Edition

1

Authors

ANMAR. KHADRA

Publishers

Other Publisher

Publisher Date

2020-12-09

Size

25.6 MB

Pages

282.0

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Diabetes Systems Biology: Quantitative methods for understanding beta-cell dynamics and function, 1 is a comprehensive biology reference published by Other Publisher. Description 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.

Key Features

- byAnmar Khadra(Editor), Hassan Jamaleddine(Contributor), Chiara Dalla Man(Contributor), Morten Gram Pedersen(Contributor), Anita Layton(Contributor), Rui Hu(Contributor),…
- 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…
- 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…
- 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…

Product Details

Publisher: Other Publisher
Edition: 1
Format: Publisher PDF
File Size: 25.6 MB
ISBN: 978-0750337373, 9780750337373, 1730750337397