Author:
Edition: 2007
Publisher: Birkhäuser
Binding: Hardcover
ISBN: 0817645578
Mathematical Modeling of Biological Systems, Volume I: Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis (Modeling ... in Science, Engineering and Technology)
Volume I of 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. Medical books Mathematical Modeling of Biological Systems, Volume I. The chapters are thematically organized into the following main areas: cellular biophysics, regulatory networks, developmental biology, biomedical applications, data analysis and model validation Medical books Mathematical Modeling of Biological Systems, Volume I: Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis. Categories: Biology->Mathematical models. Contributors: Andreas Deutsch - Author. Format: Hardcover
Download link for Mathematical Modeling of Biological Systems, Volume I: Cellular
Categories: Biology->Mathematical models. Contributors: Andreas Deutsch - Author. Format: Hardcover
Categories: Biology->Mathematical models. Contributors: Andreas Deutsch - Author. Format: Hardcover
Categories: Biology->Mathematical models. Contributors: Andreas Deutsch - Author. Format: Hardcover
format hardback language english publication year 28 11 2007 series modeling and simulation in science engineering and technology subject mathematics sciences subject 2 life sciences general enter your search keyword in titles description payment shipping rates returns mathematical modeling of biological systems volume ii epidemiology evolution and ecology immunology neural systems and the brain and innovative in science engineering and technology author binding hardcover isbn 9780817645557 publ
Medical Book Mathematical Modeling of Biological Systems, Volume I
The chapters are thematically organized into the following main areas: cellular biophysics, regulatory networks, developmental biology, biomedical applications, data analysis and model validation. The work will be an excellent reference text 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.
