Description

A hands-on approach to quantitative reasoning in the life sciences

Quantitative Biosciences establishes the quantitative principles of how living systems work across scales, drawing on classic and modern discoveries to present a case study approach that links mechanisms, models, and measurements. Each case study is organized around a central question in the life sciences: Are mutations dependent on selection? How do cells respond to fluctuating signals in the environment? How do organisms move in flocks given local sensing? How does the size of an epidemic depend on its initial speed of spread? Each question provides the basis for introducing landmark advances in the life sciences while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively about living systems given uncertainty.

  • Draws on real-world case studies in molecular and cellular biosciences, o

Quantitative Biosciences

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Paperback by Joshua S. Weitz

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A hands-on approach to quantitative reasoning in the life sciencesQuantitative Biosciences establishes the quantitative principles of how living systems work... Read more

    Publisher: Princeton University Press
    Publication Date: 01/05/2024
    ISBN13: 9780691181516, 978-0691181516
    ISBN10: 691181519

    Non Fiction , Dictionaries, Reference & Language

    Description

    A hands-on approach to quantitative reasoning in the life sciences

    Quantitative Biosciences establishes the quantitative principles of how living systems work across scales, drawing on classic and modern discoveries to present a case study approach that links mechanisms, models, and measurements. Each case study is organized around a central question in the life sciences: Are mutations dependent on selection? How do cells respond to fluctuating signals in the environment? How do organisms move in flocks given local sensing? How does the size of an epidemic depend on its initial speed of spread? Each question provides the basis for introducing landmark advances in the life sciences while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively about living systems given uncertainty.

    • Draws on real-world case studies in molecular and cellular biosciences, o

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