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Can I read Mathematical Modeling of Biological Systems, Volume I: Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis (Modeling ... in Science, Engineering and Technology) on EtoBox?

Mathematical Modeling of Biological Systems, Volume I: Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis (Modeling ... in Science, Engineering and Technology) by Andreas Deutsch, Lutz Brusch, Helen Byrne, Gerda de Vries, Hanspeter Herzel is a nonfiction available to read on EtoBox.

What is Mathematical Modeling of Biological Systems, Volume I: Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis (Modeling ... in Science, Engineering and Technology) about?

<p>This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations.</p> <p>Volume I covers a number of areas, including:</p> <p>* Cellular Biophysics</p> <p>* Regulatory Networks</p> <p>* Developmental Biology</p> <p>* Biomedical Applications</p> <p>* Data Analysis and Model Validation</p> <p>Volume II examines a diverse range of subjects, including:</p> <p>* Epidemiology</p> <p>* Evolution and Ecology</p> <p>* Immunology</p> <p>* Neural Systems and the Brain</p> <p>* Innovative Mathematical Methods and Education</p> <p>Both volumes will be excellent reference texts for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics.</p>

Who reads Mathematical Modeling of Biological Systems, Volume I: Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis (Modeling ... in Science, Engineering and Technology)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Andreas Deutsch, Lutz Brusch, Helen Byrne, Gerda de Vries, Hanspeter Herzel
Publisher
Birkhäuser Boston
Published
2007
Language
EN
ISBN
9780817645588
Category
nonfiction
Subjects
Science, Mathematics, Engineering

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