Models Analogues Biology (Society for Experimental Biology Symposia)
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Models Analogues Biology (Society for Experimental Biology Symposia)

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Published by Cambridge University Press .
Written in English

Subjects:

  • Cellular biology,
  • Life Sciences - Biology - Molecular Biology,
  • Science / Molecular Biology,
  • Science

Book details:

The Physical Object
FormatHardcover
Number of Pages264
ID Numbers
Open LibraryOL7715823M
ISBN 100521049709
ISBN 109780521049702

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Society for Experimental Biology (Great Britain). Models and analogues in biology. Cambridge, Published for the Company of Biologists on behalf of the Society for Experimental Biology at the University Press, (OCoLC) Material Type: Conference publication: Document Type: Book: All Authors / . by mathematical models, and such models may soon become requisites for describing the behaviour of cellular networks. What this book aims to achieve Mathematical modelling is becoming an increasingly valuable tool for molecular cell biology. Con-sequently, it is important for life scientists to have a background in the relevant mathematical tech-File Size: 5MB. Vitamin D, its metabolites and analogues constitute a valuable group of compounds that can be used to modulate many aspects of osteoblast and osteoclast biology. This chapter reviews the spectrum of the vitamin D compounds available, possible uses of these compounds, and . This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models and model-based analysis of by: 5.

  In this essay I will sketch some ideas for how to think about models in biology. I will begin by trying to dispel the myth that quantitative modeling is somehow foreign to biology. I will then point out the distinction between forward and reverse modeling and focus thereafter on the former. Instead of going into mathematical technicalities about different varieties of models, I will focus on Cited by: Thank you for your interest in the Modelbasedbiology community! The site is now live and ready to accept your payment ($23). You must have an account before proceeding to the payment system. After logging in, please make sure you read the terms and conditions found on the Getting Started page.. On the Getting Started page and will see that there is some info for you to read and then there is a. A catalog record for this book is available from the British Library. Library of Congress Cataloging in Publication Data Allman, Elizabeth Spencer, – Mathematical models in biology: an introduction / Elizabeth S. Allman, John A. Rhodes. p. cm. Includes bibliographical references (p.). ISBN (hb.) – ISBN (pbk. Models and Analogues in Biology By Society for Experimental Biology Academic Press, Read preview Overview Philosophy of Biology By Elliott Sober Westview Press,

Modelling biological systems is a significant task of systems biology and mathematical biology. Computational systems biology aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of biological systems, including cellular subsystems (such as the. "This is a very useful book for students and researchers."Kevin S. McCann, Quarterly Review of Biology "Vellend (biology, Univ. de Sherbrooke, Canada) provides a useful historical account of the wide variety of methods used in the field to lay the foundation for Cited by: Climate Change Biology, 2e examines the evolving discipline of human-induced climate change and the resulting shifts in the distributions of species and the timing of biological events. The text focuses on understanding the impacts of human-induced climate change by drawing on multiple lines of evidence, including paleoecology, modeling, and. Modeling Biology explores the epistemic role of a wide variety of models and modeling practices in contemporary biology. Using examples from current research in morphology, development, behavior, and evolution, the contributors offer critical reflections on the intricate interplay of experiment and model-building, as creative imaginations equipped with the power of modern computing search for.