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Link de la búsquedaMath Everywhere / SpringerLink (Online service) ; Giacomo Aletti ; Alessandra Micheletti ; Daniela Morale ; Martin Burger (2007)
Título : Math Everywhere : Deterministic and Stochastic Modelling in Biomedicine, Economics and Industry. Dedicated to the 60th Birthday of Vincenzo Capasso Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Giacomo Aletti ; Alessandra Micheletti ; Daniela Morale ; Martin Burger Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Número de páginas: XVIII, 330 p Il.: online resource ISBN/ISSN/DL: 978-3-540-44446-6 Idioma : Inglés (eng) Palabras clave: Mathematics Mathematical analysis Analysis (Mathematics) Functions of real variables Computer mathematics models Probabilities Modeling and Industrial Probability Theory Stochastic Processes Real Biomedicine general Computational Numerical Clasificación: 51 Matemáticas Resumen: These proceedings are reporting on the conference ''Math Everywhere", a successful event celebrating a leading scientist, promoting ideas he pursued and sharing the open atmosphere he is known for. The areas of the contributions are the following - Deterministic and Stochastic Systems. - Mathematical Problems in Biology, Medicine and Ecology. - Mathematical Problems in Industry and Economics. Nota de contenido: Deterministic and Stochastic Systems -- Coupled Dynamics and Quiescent Phases -- Long Time Behavior of a System of Stochastic Differential Equations Modelling Aggregation -- Invariant Density Estimation for Multidimensional Diffusions -- First Contact Distribution Function Estimation for a Partially Observed Dynamic Germ-Grain Model with Renewal Dropping Process -- An Extension of the Kolmogorov-Avrami Formula to Inhomogeneous Birth-and-Growth Processes -- On the Generalized Geometric Densities of Random Closed Sets. An Application to Growth Processes -- The Multiparameter Fractional Brownian Motion -- Filtering of Multiparameter Processes: Theory and Applications -- IFSM Representation of Brownian Motion with Applications to Simulation -- Iterated Function Systems on Multifunctions -- Mathematical Problems in Biology, Medicine and Ecology -- Stochastic Modeling and Estimation in a Neutron Lifetime Experiment -- The Transport of Specific Monoclonal Antibodies in Tumour Cords -- Structural Adaptation in Normal and Cancerous Vasculature -- Approximation of 2D and 3D Models of Chemotactic Cell Movement in Vasculogenesis -- Homogenization Closure For A Two-Dimensional Effective Model Describing Fluid-Structure Interaction in Blood Flow -- Pattern Formation in Butterfly Wings: Experiments and Models -- Stabilization for a Reaction-Diffusion System in Epidemiology -- Global Stability of Equilibria for a Metapopulation S-I-S Model -- State Feedback Control of the Glucose-Insulin System -- An Algal Allelopathic Competition with Internal and External Toxic Compounds -- Subsoil Decontamination with Biological Techniques: a Bio-Fluid Dynamics Problem -- Mathematical Problems in Industry and Economics -- Modelling and Optimizing Batch Processes in the Chemical Industry -- Kinetics of Nucleation and Growth: Classical Nucleation and Helium Bubbles in Nuclear Materials -- Polymer Crystallization Processes -- Optimal Marketing Decision in a Duopoly: A Stochastic Approach En línea: http://dx.doi.org/10.1007/978-3-540-44446-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34633 Math Everywhere : Deterministic and Stochastic Modelling in Biomedicine, Economics and Industry. Dedicated to the 60th Birthday of Vincenzo Capasso [documento electrónico] / SpringerLink (Online service) ; Giacomo Aletti ; Alessandra Micheletti ; Daniela Morale ; Martin Burger . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - XVIII, 330 p : online resource.
ISBN : 978-3-540-44446-6
Idioma : Inglés (eng)
Palabras clave: Mathematics Mathematical analysis Analysis (Mathematics) Functions of real variables Computer mathematics models Probabilities Modeling and Industrial Probability Theory Stochastic Processes Real Biomedicine general Computational Numerical Clasificación: 51 Matemáticas Resumen: These proceedings are reporting on the conference ''Math Everywhere", a successful event celebrating a leading scientist, promoting ideas he pursued and sharing the open atmosphere he is known for. The areas of the contributions are the following - Deterministic and Stochastic Systems. - Mathematical Problems in Biology, Medicine and Ecology. - Mathematical Problems in Industry and Economics. Nota de contenido: Deterministic and Stochastic Systems -- Coupled Dynamics and Quiescent Phases -- Long Time Behavior of a System of Stochastic Differential Equations Modelling Aggregation -- Invariant Density Estimation for Multidimensional Diffusions -- First Contact Distribution Function Estimation for a Partially Observed Dynamic Germ-Grain Model with Renewal Dropping Process -- An Extension of the Kolmogorov-Avrami Formula to Inhomogeneous Birth-and-Growth Processes -- On the Generalized Geometric Densities of Random Closed Sets. An Application to Growth Processes -- The Multiparameter Fractional Brownian Motion -- Filtering of Multiparameter Processes: Theory and Applications -- IFSM Representation of Brownian Motion with Applications to Simulation -- Iterated Function Systems on Multifunctions -- Mathematical Problems in Biology, Medicine and Ecology -- Stochastic Modeling and Estimation in a Neutron Lifetime Experiment -- The Transport of Specific Monoclonal Antibodies in Tumour Cords -- Structural Adaptation in Normal and Cancerous Vasculature -- Approximation of 2D and 3D Models of Chemotactic Cell Movement in Vasculogenesis -- Homogenization Closure For A Two-Dimensional Effective Model Describing Fluid-Structure Interaction in Blood Flow -- Pattern Formation in Butterfly Wings: Experiments and Models -- Stabilization for a Reaction-Diffusion System in Epidemiology -- Global Stability of Equilibria for a Metapopulation S-I-S Model -- State Feedback Control of the Glucose-Insulin System -- An Algal Allelopathic Competition with Internal and External Toxic Compounds -- Subsoil Decontamination with Biological Techniques: a Bio-Fluid Dynamics Problem -- Mathematical Problems in Industry and Economics -- Modelling and Optimizing Batch Processes in the Chemical Industry -- Kinetics of Nucleation and Growth: Classical Nucleation and Helium Bubbles in Nuclear Materials -- Polymer Crystallization Processes -- Optimal Marketing Decision in a Duopoly: A Stochastic Approach En línea: http://dx.doi.org/10.1007/978-3-540-44446-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34633 Ejemplares
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Título : Mathematical Modeling of Biological Systems, Volume I : Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Andreas Deutsch ; Lutz Brusch ; Helen Byrne ; Gerda de Vries ; Hanspeter Herzel Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2007 Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XVIII, 382 p. 120 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4558-8 Idioma : Inglés (eng) Palabras clave: Mathematics Cell biology Mathematical models Biomathematics Biophysics Biological physics Statistics Modeling and Industrial Computational Biology Physics Biomedicine general for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: 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. Volume I covers a number of areas, including: * Cellular Biophysics * Regulatory Networks * Developmental Biology * Biomedical Applications * Data Analysis and Model Validation Volume II examines a diverse range of subjects, including: * Epidemiology * Evolution and Ecology * Immunology * Neural Systems and the Brain * Innovative Mathematical Methods and Education 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 Nota de contenido: Cellular Biophysics -- Multiparticle Direct Simulation of Photosynthetic Electron Transport Processes -- Selective Regulation of Protein Activity by Complex Ca2+ Oscillations: A Theoretical Study -- Phase Separation in Eukaryotic Directional Sensing -- Protein Domains of GTPases on Membranes: Do They Rely on Turing’s Mechanism? -- In Vitro Tubulogenesis of Endothelial Cells: Analysis of a Bifurcation Process Controlled by a Mechanical Switch -- Nonexponential Time Distributions in Biocatalytic Systems: Mass Service Replacing Mass Action -- Regulatory Networks -- A Stochastic Model of Gene Regulation Using the Chemical Master Equation -- Piecewise-Linear Models of Genetic Regulatory Networks: Analysis of the Carbon Starvation Response in Escherichia coli -- Predicting Gene Expression from Combined Expression and Promoter Profile Similarity with Application to Missing Value Imputation -- Chemical Organizations in the Central Sugar Metabolism of Escherichia coli -- Transition Networks: A Unifying Theme for Molecular Simulation and Computer Science -- Development -- Pigmentation Pattern Formation in Butterfly Wings: Global Patterns on Fore- and Hindwing -- Agent-Based Model for Developmental Pattern Formation with Multiscale Dynamics and Varying Cell Geometry -- Bacterial Swarming Driven by Rod Shape -- Stability Properties of Some Tissue-Growth Models -- A Modified Backward Euler Scheme for Advection-Reaction-Diffusion Systems -- Biomedical Applications -- Fractional Transport of Cancer Cells Due to Self-Entrapment by Fission -- Mathematical Modelling of Vascular Tumour Growth and Implications for Therapy -- A Stochastic Model of Glioblastoma Invasion -- Morphology of Tumor Vasculature A Theoretical Model -- A Mathematical Model of the Cell Cycle and Its Circadian Control -- Bone Turnover Cycle Model with a Torus-Like Steady State -- Modelling the Early Stages of Atherosclerosis -- Magnetic Nanoparticles for In Vivo Applications: A Numerical Modeling Study -- Fluid Transport in Peritoneal Dialysis: A Mathematical Model and Numerical Solutions -- Relevance of Intracellular Replication to the Evolution of Chagas Disease -- A Finite Volume Spatial Discretisation for Taxis-Diffusion-Reaction Systems with Axi-Symmetry: Application to Fracture Healing -- Information Content Toward a Neonatal Disease Severity Score System -- Data Analysis and Model Validation -- Statistical Analysis and Physical Modelling of Oligonucleotide Microarrays -- Validation of Human Alternative Splice Forms Using the EASED Platform and Multiple Splice Site Discriminating Features -- Gaussian Mixture Decomposition of Time-Course DNA Microarray Data -- SVD Analysis of Gene Expression Data En línea: http://dx.doi.org/10.1007/978-0-8176-4558-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34552 Mathematical Modeling of Biological Systems, Volume I : Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis [documento electrónico] / SpringerLink (Online service) ; Andreas Deutsch ; Lutz Brusch ; Helen Byrne ; Gerda de Vries ; Hanspeter Herzel . - Boston, MA : Birkhäuser Boston, 2007 . - XVIII, 382 p. 120 illus : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-0-8176-4558-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Cell biology Mathematical models Biomathematics Biophysics Biological physics Statistics Modeling and Industrial Computational Biology Physics Biomedicine general for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: 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. Volume I covers a number of areas, including: * Cellular Biophysics * Regulatory Networks * Developmental Biology * Biomedical Applications * Data Analysis and Model Validation Volume II examines a diverse range of subjects, including: * Epidemiology * Evolution and Ecology * Immunology * Neural Systems and the Brain * Innovative Mathematical Methods and Education 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 Nota de contenido: Cellular Biophysics -- Multiparticle Direct Simulation of Photosynthetic Electron Transport Processes -- Selective Regulation of Protein Activity by Complex Ca2+ Oscillations: A Theoretical Study -- Phase Separation in Eukaryotic Directional Sensing -- Protein Domains of GTPases on Membranes: Do They Rely on Turing’s Mechanism? -- In Vitro Tubulogenesis of Endothelial Cells: Analysis of a Bifurcation Process Controlled by a Mechanical Switch -- Nonexponential Time Distributions in Biocatalytic Systems: Mass Service Replacing Mass Action -- Regulatory Networks -- A Stochastic Model of Gene Regulation Using the Chemical Master Equation -- Piecewise-Linear Models of Genetic Regulatory Networks: Analysis of the Carbon Starvation Response in Escherichia coli -- Predicting Gene Expression from Combined Expression and Promoter Profile Similarity with Application to Missing Value Imputation -- Chemical Organizations in the Central Sugar Metabolism of Escherichia coli -- Transition Networks: A Unifying Theme for Molecular Simulation and Computer Science -- Development -- Pigmentation Pattern Formation in Butterfly Wings: Global Patterns on Fore- and Hindwing -- Agent-Based Model for Developmental Pattern Formation with Multiscale Dynamics and Varying Cell Geometry -- Bacterial Swarming Driven by Rod Shape -- Stability Properties of Some Tissue-Growth Models -- A Modified Backward Euler Scheme for Advection-Reaction-Diffusion Systems -- Biomedical Applications -- Fractional Transport of Cancer Cells Due to Self-Entrapment by Fission -- Mathematical Modelling of Vascular Tumour Growth and Implications for Therapy -- A Stochastic Model of Glioblastoma Invasion -- Morphology of Tumor Vasculature A Theoretical Model -- A Mathematical Model of the Cell Cycle and Its Circadian Control -- Bone Turnover Cycle Model with a Torus-Like Steady State -- Modelling the Early Stages of Atherosclerosis -- Magnetic Nanoparticles for In Vivo Applications: A Numerical Modeling Study -- Fluid Transport in Peritoneal Dialysis: A Mathematical Model and Numerical Solutions -- Relevance of Intracellular Replication to the Evolution of Chagas Disease -- A Finite Volume Spatial Discretisation for Taxis-Diffusion-Reaction Systems with Axi-Symmetry: Application to Fracture Healing -- Information Content Toward a Neonatal Disease Severity Score System -- Data Analysis and Model Validation -- Statistical Analysis and Physical Modelling of Oligonucleotide Microarrays -- Validation of Human Alternative Splice Forms Using the EASED Platform and Multiple Splice Site Discriminating Features -- Gaussian Mixture Decomposition of Time-Course DNA Microarray Data -- SVD Analysis of Gene Expression Data En línea: http://dx.doi.org/10.1007/978-0-8176-4558-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34552 Ejemplares
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Título : Computational Neuroscience Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Wanpracha Chaovalitwongse ; Panos M. Pardalos ; Petros Xanthopoulos Editorial: New York, NY : Springer New York Fecha de publicación: 2010 Otro editor: Imprint: Springer Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 38 Número de páginas: XVI, 396 p Il.: online resource ISBN/ISSN/DL: 978-0-387-88630-5 Idioma : Inglés (eng) Palabras clave: Medicine Neurosciences Health informatics Computer mathematics Mathematical models Biomedical engineering Biomedicine Informatics Engineering Computational Mathematics and Numerical Analysis Modeling Industrial Clasificación: 51 Matemáticas Resumen: The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience Nota de contenido: Data Mining -- Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains -- Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods -- Methodological Framework for EEG Feature Selection Based on Spectral and Temporal Profiles -- Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt–Jakob Disease for Assisting Early Diagnosis -- Comparison of Supervised Classification Methods with Various Data Preprocessing Procedures for Activation Detection in fMRI Data -- Recent Advances of Data Biclustering with Application in Computational Neuroscience -- A Genetic Classifier Account for the Regulation of Expression -- Modeling -- Neuroelectromagnetic Source Imaging of Brain Dynamics -- Optimization in Brain? - Modeling Human Behavior and Brain Activation Patterns with Queuing Network and Reinforcement Learning Algorithms -- Neural Network Modeling of Voluntary Single-Joint Movement Organization I. Normal Conditions -- Neural Network Modeling of Voluntary Single-Joint Movement Organization II. Parkinson’s Disease -- Parametric Modeling Analysis of Optical Imaging Data on Neuronal Activities in the Brain -- Advances Toward Closed-Loop Deep Brain Stimulation -- Molecule-Inspired Methods for Coarse-Grain Multi-System Optimization -- Brain Dynamics/Synchronization -- A Robust Estimation of Information Flow in Coupled Nonlinear Systems -- An Optimization Approach for Finding a Spectrum of Lyapunov Exponents -- Dynamical Analysis of the EEG and Treatment of Human Status Epilepticus by Antiepileptic Drugs -- Analysis of Multichannel EEG Recordings Based on Generalized Phase Synchronization and Cointegrated VAR -- Antiepileptic Therapy Reduces Coupling Strength Among Brain Cortical Regions in Patients with Unverricht–Lundborg Disease: A Pilot Study -- Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit En línea: http://dx.doi.org/10.1007/978-0-387-88630-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33519 Computational Neuroscience [documento electrónico] / SpringerLink (Online service) ; Wanpracha Chaovalitwongse ; Panos M. Pardalos ; Petros Xanthopoulos . - New York, NY : Springer New York : Imprint: Springer, 2010 . - XVI, 396 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 38) .
ISBN : 978-0-387-88630-5
Idioma : Inglés (eng)
Palabras clave: Medicine Neurosciences Health informatics Computer mathematics Mathematical models Biomedical engineering Biomedicine Informatics Engineering Computational Mathematics and Numerical Analysis Modeling Industrial Clasificación: 51 Matemáticas Resumen: The human brain is among the most complex systems known to mankind. Neuroscientists seek to understand brain function through detailed analysis of neuronal excitability and synaptic transmission. Only in the last few years has it become feasible to capture simultaneous responses from a large enough number of neurons to empirically test the theories of human brain function computationally. This book is comprised of state-of-the-art experiments and computational techniques that provide new insights and improve our understanding of the human brain. This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience. The results presented in this book are of great interest and value to scientists, graduate students, researchers and medical practitioners interested in the most recent developments in computational neuroscience Nota de contenido: Data Mining -- Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains -- Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods -- Methodological Framework for EEG Feature Selection Based on Spectral and Temporal Profiles -- Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt–Jakob Disease for Assisting Early Diagnosis -- Comparison of Supervised Classification Methods with Various Data Preprocessing Procedures for Activation Detection in fMRI Data -- Recent Advances of Data Biclustering with Application in Computational Neuroscience -- A Genetic Classifier Account for the Regulation of Expression -- Modeling -- Neuroelectromagnetic Source Imaging of Brain Dynamics -- Optimization in Brain? - Modeling Human Behavior and Brain Activation Patterns with Queuing Network and Reinforcement Learning Algorithms -- Neural Network Modeling of Voluntary Single-Joint Movement Organization I. Normal Conditions -- Neural Network Modeling of Voluntary Single-Joint Movement Organization II. Parkinson’s Disease -- Parametric Modeling Analysis of Optical Imaging Data on Neuronal Activities in the Brain -- Advances Toward Closed-Loop Deep Brain Stimulation -- Molecule-Inspired Methods for Coarse-Grain Multi-System Optimization -- Brain Dynamics/Synchronization -- A Robust Estimation of Information Flow in Coupled Nonlinear Systems -- An Optimization Approach for Finding a Spectrum of Lyapunov Exponents -- Dynamical Analysis of the EEG and Treatment of Human Status Epilepticus by Antiepileptic Drugs -- Analysis of Multichannel EEG Recordings Based on Generalized Phase Synchronization and Cointegrated VAR -- Antiepileptic Therapy Reduces Coupling Strength Among Brain Cortical Regions in Patients with Unverricht–Lundborg Disease: A Pilot Study -- Seizure Monitoring and Alert System for Brain Monitoring in an Intensive Care Unit En línea: http://dx.doi.org/10.1007/978-0-387-88630-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33519 Ejemplares
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Título : Dose Finding in Drug Development Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Naitee Ting Editorial: New York, NY : Springer New York Fecha de publicación: 2006 Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XIV, 248 p Il.: online resource ISBN/ISSN/DL: 978-0-387-33706-7 Idioma : Inglés (eng) Palabras clave: Medicine Pharmacology Statistics Biomedicine Pharmacology/Toxicology for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: When you go to the pharmacy and fill a prescription, have you ever wondered if the dose of the medication is right for you? Can the dose be too low so that the drug will not work? Can the dose be too high that it may cause some potential problem? How do people learn about dosing information? This book answers some of these questions. Dosing information on the drug label is based on discussion and agreement between the pharmaceutical manufacturer and the drug regulatory agency. A drug label is a high level summary of results obtained from many scientific experiments. Scientists with biological, chemical, medical, or statistical background working in the pharmaceutical industry designed and executed these experiments to obtain information to help understand the dosing information. This book introduces the drug development process, the design and analysis of clinical trials. Many of the discussions are based on applications of statistical methods in the design and analysis of dose response studies. Although the book is prepared mainly for statisticians/biostatisticians, it also serves as a useful reference to a variety of professionals working for the pharmaceutical industry. The potential readers include pharmacokienticists, clinical scientists, clinical pharmacologists, pharmacists, project managers, pharmaceutical scientists, clinicians, programmers, data managers, regulatory specialists, and study report writers. This book is also a good reference for professionals working in a drug regulatory environment, for example, the FDA. Scientists and/or reviewers from both U.S. and foreign drug regulatory agencies can benefit greatly from this book. In addition, statistical and medical professionals in academia may find this book helpful in understanding the drug development process and practical concerns in selecting doses for a new drug. Naitee Ting received his Ph. D. in statistics from Colorado State University in 1987 and joined Pfizer Research right after obtaining his Ph. D. Dr. Ting is currently an Associate Director of Biostatistics in Pfizer Global Research and Development, supporting clinical development of new drugs. He has over 18 years of experiences in designing and analyzing late phase clinical trials. During his tenure at Pfizer, Dr. Ting has published more than 20 statistical papers in peer-reviewed journals and book chapters. He has also taught clinical trials courses at the University of Connecticut and University of Rhode Island Nota de contenido: and New Drug Development Process -- Dose Finding Based on Preclinical Studies -- Dose-Finding Studies in Phase I and Estimation of Maximally Tolerated Dose -- Dose-Finding in Oncology—Nonparametric Methods -- Dose Finding in Oncology—Parametric Methods -- Dose Response: Pharmacokinetic–Pharmacodynamic Approach -- General Considerations in Dose–Response Study Designs -- Clinical Trial Simulation—A Case Study Incorporating Efficacy and Tolerability Dose Response -- Analysis of Dose–Response Studies—Emax Model -- Analysis of Dose–Response Studies—Modeling Approaches -- Multiple Comparison Procedures in Dose Response Studies -- Partitioning Tests in Dose–Response Studies with Binary Outcomes -- Analysis of Dose–Response Relationship Based on Categorical Outcomes -- Power and Sample Size for Dose Response Studies En línea: http://dx.doi.org/10.1007/0-387-33706-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34805 Dose Finding in Drug Development [documento electrónico] / SpringerLink (Online service) ; Naitee Ting . - New York, NY : Springer New York, 2006 . - XIV, 248 p : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-0-387-33706-7
Idioma : Inglés (eng)
Palabras clave: Medicine Pharmacology Statistics Biomedicine Pharmacology/Toxicology for Life Sciences, Medicine, Health Sciences Clasificación: 51 Matemáticas Resumen: When you go to the pharmacy and fill a prescription, have you ever wondered if the dose of the medication is right for you? Can the dose be too low so that the drug will not work? Can the dose be too high that it may cause some potential problem? How do people learn about dosing information? This book answers some of these questions. Dosing information on the drug label is based on discussion and agreement between the pharmaceutical manufacturer and the drug regulatory agency. A drug label is a high level summary of results obtained from many scientific experiments. Scientists with biological, chemical, medical, or statistical background working in the pharmaceutical industry designed and executed these experiments to obtain information to help understand the dosing information. This book introduces the drug development process, the design and analysis of clinical trials. Many of the discussions are based on applications of statistical methods in the design and analysis of dose response studies. Although the book is prepared mainly for statisticians/biostatisticians, it also serves as a useful reference to a variety of professionals working for the pharmaceutical industry. The potential readers include pharmacokienticists, clinical scientists, clinical pharmacologists, pharmacists, project managers, pharmaceutical scientists, clinicians, programmers, data managers, regulatory specialists, and study report writers. This book is also a good reference for professionals working in a drug regulatory environment, for example, the FDA. Scientists and/or reviewers from both U.S. and foreign drug regulatory agencies can benefit greatly from this book. In addition, statistical and medical professionals in academia may find this book helpful in understanding the drug development process and practical concerns in selecting doses for a new drug. Naitee Ting received his Ph. D. in statistics from Colorado State University in 1987 and joined Pfizer Research right after obtaining his Ph. D. Dr. Ting is currently an Associate Director of Biostatistics in Pfizer Global Research and Development, supporting clinical development of new drugs. He has over 18 years of experiences in designing and analyzing late phase clinical trials. During his tenure at Pfizer, Dr. Ting has published more than 20 statistical papers in peer-reviewed journals and book chapters. He has also taught clinical trials courses at the University of Connecticut and University of Rhode Island Nota de contenido: and New Drug Development Process -- Dose Finding Based on Preclinical Studies -- Dose-Finding Studies in Phase I and Estimation of Maximally Tolerated Dose -- Dose-Finding in Oncology—Nonparametric Methods -- Dose Finding in Oncology—Parametric Methods -- Dose Response: Pharmacokinetic–Pharmacodynamic Approach -- General Considerations in Dose–Response Study Designs -- Clinical Trial Simulation—A Case Study Incorporating Efficacy and Tolerability Dose Response -- Analysis of Dose–Response Studies—Emax Model -- Analysis of Dose–Response Studies—Modeling Approaches -- Multiple Comparison Procedures in Dose Response Studies -- Partitioning Tests in Dose–Response Studies with Binary Outcomes -- Analysis of Dose–Response Relationship Based on Categorical Outcomes -- Power and Sample Size for Dose Response Studies En línea: http://dx.doi.org/10.1007/0-387-33706-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34805 Ejemplares
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Título : Handbook of Statistical Bioinformatics Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Henry Horng-Shing Lu ; Schölkopf, Bernhard ; Hongyu Zhao Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2011 Otro editor: Imprint: Springer Colección: Springer Handbooks of Computational Statistics Número de páginas: X, 630 p Il.: online resource ISBN/ISSN/DL: 978-3-642-16345-6 Idioma : Inglés (eng) Palabras clave: Statistics Computer graphics Statistics, general Biomedicine Imaging, Vision, Pattern Recognition and Graphics Clasificación: 51 Matemáticas Resumen: Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology Nota de contenido: I: Accuracy Assessment of Consensus Sequence from Shotgun Sequencing -- Statistical and Computational Studies on Alternative Splicing -- Using Sequence Information to Predict TF-DNA Binding -- Computational Promoter Prediction in a Vertebrate Genome -- Discovering Influential Variables: A General Computer Intensive Method for Common Genetic Disorders -- STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions -- Mixture Tree Construction and Its Applications -- II: Experimental Designs and ANOVA for Microarray Data -- MAQC and Cross Platform Analysis of Microarray Data -- A Survey of Classification Techniques for Microarray Analysis -- Statistical Analysis of Single Nucleotide Polymorphism Microarrays in Cancer Studies -- Computational Analysis of ChIP-chip Data -- eQTL Mapping for Functional Classes of Saccharomyces Cerevisiae Genes with Multivariate Sparse Partial Least Squares Regression -- Analysis of Time Course Data -- III: Kernel Methods in Bioinformatics -- Graph Classification Methods in Chemoinformatics -- Hidden Markov Random Field Models for Network-based Analysis of Genomic Data -- Review of Weighted Gene Coexpression Network Analysis -- Liquid Association -- Boolean Networks -- Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction -- Regulatory Networks -- Inferring Signaling and Gene Regulatory Network from Genetic and Genomic Information -- Computational Drug Target Pathway Discovery: A Bayesian Network Approach -- Cancer Systems Biology -- Comparative Genomics and Molecular Evolution -- Robust Control of Immune Systems under Noises: Stochastic Game Approach En línea: http://dx.doi.org/10.1007/978-3-642-16345-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33394 Handbook of Statistical Bioinformatics [documento electrónico] / SpringerLink (Online service) ; Henry Horng-Shing Lu ; Schölkopf, Bernhard ; Hongyu Zhao . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011 . - X, 630 p : online resource. - (Springer Handbooks of Computational Statistics) .
ISBN : 978-3-642-16345-6
Idioma : Inglés (eng)
Palabras clave: Statistics Computer graphics Statistics, general Biomedicine Imaging, Vision, Pattern Recognition and Graphics Clasificación: 51 Matemáticas Resumen: Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology Nota de contenido: I: Accuracy Assessment of Consensus Sequence from Shotgun Sequencing -- Statistical and Computational Studies on Alternative Splicing -- Using Sequence Information to Predict TF-DNA Binding -- Computational Promoter Prediction in a Vertebrate Genome -- Discovering Influential Variables: A General Computer Intensive Method for Common Genetic Disorders -- STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions -- Mixture Tree Construction and Its Applications -- II: Experimental Designs and ANOVA for Microarray Data -- MAQC and Cross Platform Analysis of Microarray Data -- A Survey of Classification Techniques for Microarray Analysis -- Statistical Analysis of Single Nucleotide Polymorphism Microarrays in Cancer Studies -- Computational Analysis of ChIP-chip Data -- eQTL Mapping for Functional Classes of Saccharomyces Cerevisiae Genes with Multivariate Sparse Partial Least Squares Regression -- Analysis of Time Course Data -- III: Kernel Methods in Bioinformatics -- Graph Classification Methods in Chemoinformatics -- Hidden Markov Random Field Models for Network-based Analysis of Genomic Data -- Review of Weighted Gene Coexpression Network Analysis -- Liquid Association -- Boolean Networks -- Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction -- Regulatory Networks -- Inferring Signaling and Gene Regulatory Network from Genetic and Genomic Information -- Computational Drug Target Pathway Discovery: A Bayesian Network Approach -- Cancer Systems Biology -- Comparative Genomics and Molecular Evolution -- Robust Control of Immune Systems under Noises: Stochastic Game Approach En línea: http://dx.doi.org/10.1007/978-3-642-16345-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33394 Ejemplares
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