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“Guyton and Hall Textbook of Medical Physiology (13th Edition) – eBook” has been added to your cart. View cart
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Systems Immunology: An Introduction to Modeling Methods for Scientists – PDF
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Systems Immunology: An Introduction to Modeling Methods for Scientists – PDF

Rated 4.40 out of 5 based on 5 customer ratings
(5 customer reviews)

$44.79 Original price was: $44.79.$6.99Current price is: $6.99.

eBook details

  • Authors: Jayajit Das, Ciriyam Jayaprakash
  • File Size: 20 MB
  • Format: PDF
  • Length: 354 Pages
  • Publisher: CRC Press; 1st edition
  • Publication Date: September 3, 2018
  • Language: English
  • ASIN: B07H33S1PM
  • ISBN-10: 1498717403, 1498717411,1315119846, 1351646141, 0367780925
  • ISBN-13: 9781498717403, 9781498717410, 9781315119847, 9781351646147, 9780367780920
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SKU: systems-immunology-an-introduction-to-modeling-methods-for-scientists-ebook-pdf Categories: E-Books, Education, Health, Non Fiction, Others, PDF, Textbooks Tags: 0367780925, 1315119846, 1351646141, 1498717403, 1498717411, 978-0367780920, 978-1315119847, 978-1351646147, 978-1498717403, 978-1498717410, 9780367780920, 9781315119847, 9781351646147, 9781498717403, 9781498717410, Systems Immunology: An Introduction to Modeling Methods for Scientists pdf
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Description

Systems Immunology: An Introduction to Modeling Methods for Scientists – eBook PDF

New experimental techniques in immunology have generated large and complex data sets that need quantitative modeling for analysis. Systems Immunology (PDF) offers a complete overview of computational immunology, from fundamental concepts to mathematical modeling at the single-molecule, organism, cellular, and population levels. Foundations of Biochemistry and Biophysics presents modern mechanistic models and their use in making predictions, designing experiments, and clarifying underlying biochemical processes. It starts with an introduction to data analysis, approximations, and assumptions used in model building. Key chapters address models and methods for studying immune responses, with basic concepts clearly defined.

Readers from quantitative biology, immunology, and applied physics will benefit from the following:

    • A summary of basic concepts in modeling and data analysis.
    • Coverage of topics where mechanistic modeling has added substantially to current understanding.
    • Discussion of genetic diversity of the immune system, immune response at the cell population scale, cell signaling in the immune system, and ecology of host-pathogen interactions.
    • Basic principles of computational immunology and modern quantitative methods for studying immune response at the single-molecule, organism, cellular, and population levels.

Review

“Taken together, the body of information included in this ebook offers readers with a bird’s-eye view of diverse aspects of exciting work at the convergence of disciplines that will eventually lead to a future where we understand how immunity is regulated, and how we can connect this knowledge toward practical ends that reduce human suffering. I recommend the editors for putting this volume together.” — Arup K. Chakraborty, Robert T. Haslam Professor of Chemical Engineering, and Professor of Physics, Chemistry, and Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA

NOTE: This sale only includes Systems Immunology: An Introduction to Modeling Methods for Scientists in PDF. No access codes included.

 

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5 reviews for Systems Immunology: An Introduction to Modeling Methods for Scientists – PDF

  1. Hannah Turner (verified owner) – December 19, 2022

    Rated 5 out of 5

    Best eBook store I’ve used, fast and reliable.

  2. Noah Bennett (verified owner) – September 4, 2023

    Rated 4 out of 5

    Hassle-free purchase, eBook arrived right away.

  3. Ella Morgan (verified owner) – January 29, 2024

    Rated 4 out of 5

    Quick and smooth, got my eBook right away.

  4. Daniel Rogers (verified owner) – March 11, 2024

    Rated 5 out of 5

    Very smooth transaction, quick delivery.

  5. Mia Sanders (verified owner) – May 28, 2024

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