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Models, Biological. --- Toxicology --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- methods. --- MODELS --- TOXICOLOGY --- BIOLOGICAL --- methods --- Methods --- Models --- Biological --- Models, Biological

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Models, Biological. --- Pregnancy, Animal. --- Fetus --- Maternal-Fetal Exchange. --- Animal Pregnancies --- Animal Pregnancy --- Pregnancies, Animal --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- metabolism. --- Transplacental Exposure --- Exchange, Maternal-Fetal --- Exposure, Transplacental --- Maternal Fetal Exchange --- Biological Transport --- Placenta --- Maternal Exposure --- Placental Circulation --- Maternal-Fetal Relations --- Models, Biological --- Pregnancy, Animal --- Maternal-Fetal Exchange --- metabolism

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Animal populations --- Volterra equations --- Mathematical models --- Animals. --- Mathematics. --- Models, Biological. --- -Volterra equations --- Equations, Volterra --- Integral equations --- Demography, Wildlife --- Populations, Animal --- Wildlife demography --- Wildlife populations --- Animal ecology --- Population biology --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Mathematic --- Animalia --- Animal --- Metazoa --- Animals --- Mathematics --- Models, Biological --- Animal populations - Mathematical models

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Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, this textbook explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches. --Provided by publisher.

Models, Biological. --- Systems Biology. --- Metabolic Networks and Pathways --- Biologie systémique --- Modèles biologiques --- physiology. --- Systems biology. --- Biological models. --- Systems Biology --- Models, Biological --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Biology, Systems --- Systems Theory --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- physiology --- Biologie systémique. --- Modèles biologiques. --- Systems biology --- Biological models

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"This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications.The book provides an overview of a compelling group of advanced biomedical signal processing techniques, such as multisource and multiscale integration of information for physiology and clinical decision; the impact of advanced methods of signal processing in cardiology and neurology; the integration of signal processing methods with a modelling approach; complexity measurement from biomedical signals; higher order analysis in biomedical signals; advanced methods of signal and data processing in genomics and proteomics; and classification and parameter enhancement"--Provided by publisher.

Signal processing. --- Biomedical engineering. --- Biomedical Engineering. --- Signal Processing, Computer-Assisted. --- Microarray Analysis --- Models, Biological. --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- methods. --- Biomedical engineering --- Signal processing --- Models, Biological --- methods