TY  - BOOK
AU  - Deutsch,Andreas
TI  - Mathematical modeling of biological systems
T2  - Modeling and simulation in science, engineering and technology
SN  - 9780817645571 (v. 1 : hd.bd.)
PY  - 2007///
CY  - Boston, Basel
PB  - Birkhäuser
KW  - Biomatemáticas
KW  - Biología
KW  - Modelos matemáticos
N1  - Includes bibliographical references and index; Vol.I : Cellular biophysics, regulatory networks, development, biomedicine, and data analysis -- Vol. II : Epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods and education
N2  - 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. Highlighted throughout the work are mathematical and computational approaches to solving central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations. 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; Volume II 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. Highlighted throughout the work are mathematical and computational approaches to solving central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: Epidemiology, Evolution and Ecology, Immunology, Neural Systems and the Brain, Innovative Mathematical Methods. 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. Unified presentation of mathematical modeling in the biological science; Índice: From the contents Vol. 1: Part I. Cellular Biophysics.- Part II. Regulatory Networks.- Part III. Development.- Part IV. Biomedical Applications.- Part V. Data Analysis and Model Validation
ER  -