Physical models of living systems: probability, simulation, dynamics / Philip Nelson ; University of Pennsylvania with the assistance of Sarina Bromberg, Ann Hermundstad, Keith Kroma-Wiley, and Jason Prentice.

By:

Nelson, Philip Charles

Contributor(s):

Material type: Text

TextPublication details: Philadelphia Chiliagon Science 2022Edition: Second editionDescription: xxiv, 466 pages : color illustrations ; 26 cmISBN:

9781737540243 (pbk.)

Subject(s):

Genre/Form:

Textbooks.

DDC classification:

570.15 NEL

Summary: "Physical models of living systems first develps the frameworks needed to understand modern ideas about inference from data, as they relate to biological physics research. Later chapters develop stochasti stimulation as a tool to handle more complex systems, and then dynamical systems theory applied to cellular control networks, both natural and synthetic. Along the way, you'll also see the foundations of revolutionary advances in imaging (superresolutiona dn cryo-electron microscopy), along with epidemic modeling, micanobiology, excitable media, and more. The text also has significant overlap with competencies covered in the MCAT exam. Dozens of problems at all levels, many of them new in this edition, will help you to gain simulation and data visualization skills useful in any branch of quantitatvie science research."--Back cover.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	SIAS Collection	570.15 NEL (Browse shelf(Opens below))	Available		K10756

Rs.3675/-
Amazon
XNRF432941/2

"Physical models of living systems first develps the frameworks needed to understand modern ideas about inference from data, as they relate to biological physics research. Later chapters develop stochasti stimulation as a tool to handle more complex systems, and then dynamical systems theory applied to cellular control networks, both natural and synthetic. Along the way, you'll also see the foundations of revolutionary advances in imaging (superresolutiona dn cryo-electron microscopy), along with epidemic modeling, micanobiology, excitable media, and more. The text also has significant overlap with competencies covered in the MCAT exam. Dozens of problems at all levels, many of them new in this edition, will help you to gain simulation and data visualization skills useful in any branch of quantitatvie science research."--Back cover.

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