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Mathematical Modelling of Biosystems / SpringerLink (Online service) ; Rubem P. Mondaini ; Panos M. Pardalos (2008)  

Público ISBD Título : Mathematical Modelling of Biosystems Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Rubem P. Mondaini ; Panos M. Pardalos Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2008 Colección: Applied Optimization, ISSN 1384-6485 num. 102 Número de páginas: XII, 305 p Il.: online resource ISBN/ISSN/DL: 978-3-540-76784-8 Idioma : Inglés (eng) Palabras clave: Mathematics  Operations  research  Decision  making  Life  sciences  Biology  Technique  Biomathematics  Mathematical  and  Computational  Biological  Techniques  Operation  Research/Decision  Theory  Sciences,  general Clasificación: 51 Matemáticas Nota de contenido: Elastic Growth Models -- A Model of Pattern Coupled to Form in Metazoans -- Mathematical Modeling of HIV-1 Infection and Drug Therapy -- Overcoming the Key Challenges in De Novo Protein Design: Enhancing Computational Efficiency and Incorporating True Backbone Flexibility -- The Improved Heuristic for Consistent Biclustering Problems -- The Steiner Tree Problem and Its Application to the Modelling of Biomolecular Structures -- Phenotypic Switching and Mutation in the Presence of a Biocide: No Replication of Phenotypic Variant -- From Spatial Pattern in the Distribution and Abundance of Species to a Unified Theory of Ecology: The Role of Maximum Entropy Methods -- Protein Structure and Its Folding Rate En línea: http://dx.doi.org/10.1007/978-3-540-76784-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34360 Mathematical Modelling of Biosystems [documento electrónico] / SpringerLink (Online service) ; Rubem P. Mondaini ; Panos M. Pardalos . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2008 . - XII, 305 p : online resource. - (Applied Optimization, ISSN 1384-6485; 102) . ISBN : 978-3-540-76784-8 Idioma : Inglés (eng) Palabras clave: Mathematics  Operations  research  Decision  making  Life  sciences  Biology  Technique  Biomathematics  Mathematical  and  Computational  Biological  Techniques  Operation  Research/Decision  Theory  Sciences,  general Clasificación: 51 Matemáticas Nota de contenido: Elastic Growth Models -- A Model of Pattern Coupled to Form in Metazoans -- Mathematical Modeling of HIV-1 Infection and Drug Therapy -- Overcoming the Key Challenges in De Novo Protein Design: Enhancing Computational Efficiency and Incorporating True Backbone Flexibility -- The Improved Heuristic for Consistent Biclustering Problems -- The Steiner Tree Problem and Its Application to the Modelling of Biomolecular Structures -- Phenotypic Switching and Mutation in the Presence of a Biocide: No Replication of Phenotypic Variant -- From Spatial Pattern in the Distribution and Abundance of Species to a Unified Theory of Ecology: The Role of Maximum Entropy Methods -- Protein Structure and Its Folding Rate En línea: http://dx.doi.org/10.1007/978-3-540-76784-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34360

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Modelling, Analysis and Optimization of Biosystems / Werner Krabs (2007)  

Público ISBD Título : Modelling, Analysis and Optimization of Biosystems Tipo de documento: documento electrónico Autores: Werner Krabs ; SpringerLink (Online service) ; Stefan Wolfgang Pickl Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Número de páginas: XI, 203 p Il.: online resource ISBN/ISSN/DL: 978-3-540-71453-8 Idioma : Inglés (eng) Palabras clave: Mathematics  Operations  research  Decision  making  Hematology  Biology  Technique  Biomathematics  Control  engineering  Robotics  Mechatronics  Mathematical  and  Computational  Biological  Techniques  Operation  Research/Decision  Theory  Control,  Robotics, Clasificación: 51 Matemáticas Resumen: Mathematical models in biology and medicine cannot be based on natural laws as it is the case with physics and chemistry. This is due to the fact that biological and medical processes are concerned with living organisms. Mathematical models, however, can be used as a language by which certain aspects of biological or medical processes can be expressed. In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems Nota de contenido: Growth Models -- A Game-Theoretic Evolution Model -- Four Models of Optimal Control in Medicine -- A Mathematical Model of Hemodialysis En línea: http://dx.doi.org/10.1007/978-3-540-71453-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34660 Modelling, Analysis and Optimization of Biosystems [documento electrónico] / Werner Krabs ; SpringerLink (Online service) ; Stefan Wolfgang Pickl . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - XI, 203 p : online resource. ISBN : 978-3-540-71453-8 Idioma : Inglés (eng) Palabras clave: Mathematics  Operations  research  Decision  making  Hematology  Biology  Technique  Biomathematics  Control  engineering  Robotics  Mechatronics  Mathematical  and  Computational  Biological  Techniques  Operation  Research/Decision  Theory  Control,  Robotics, Clasificación: 51 Matemáticas Resumen: Mathematical models in biology and medicine cannot be based on natural laws as it is the case with physics and chemistry. This is due to the fact that biological and medical processes are concerned with living organisms. Mathematical models, however, can be used as a language by which certain aspects of biological or medical processes can be expressed. In general, several mathematical models can be designed in order to describe a biological or medical process and there is no unique criterion which model gives the best description. This book presents several of these models and shows applications of them to different biological and medical problems. The book shows that operations research expertise is necessary in respect to modeling, analysis and optimization of biosystems Nota de contenido: Growth Models -- A Game-Theoretic Evolution Model -- Four Models of Optimal Control in Medicine -- A Mathematical Model of Hemodialysis En línea: http://dx.doi.org/10.1007/978-3-540-71453-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34660

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Permutation Testing for Isotonic Inference on Association Studies in Genetics / Luigi Salmaso (2011)  

Público ISBD Título : Permutation Testing for Isotonic Inference on Association Studies in Genetics Tipo de documento: documento electrónico Autores: Luigi Salmaso ; SpringerLink (Online service) ; Rosa Arboretti ; Livio Corain ; Dario Mazzaro Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2011 Colección: SpringerBriefs in Statistics, ISSN 2191-544X Número de páginas: VI, 72 p. 13 illus Il.: online resource ISBN/ISSN/DL: 978-3-642-20584-2 Idioma : Inglés (eng) Palabras clave: Pharmacy  Statistics  Human  genetics  Biotechnology  Biology  Technique  Psychometrics  for  Life  Sciences,  Medicine,  Health  Sciences  Genetics  Biological  Techniques Clasificación: 51 Matemáticas Resumen: The purpose of this book is to illustrate a new statistical approach to test allelic association and genotype-specific effects in the genetic study of diseases. There are some parametric and non-parametric methods available for this purpose. We deal with population-based association studies, but comparisons with other methods will also be drawn, analysing the advantages and disadvantages of each one, particularly with regard to power properties with small sample sizes. In this framework we will work out some nonparametric statistical permutation tests and likelihood-based tests to perform case-control analyses to study allelic association between marker, disease-gene and environmental factors. Permutation tests, in particular, will be extended to multivariate and more complex studies, where we deal with several genes and several alleles together. Furthermore, we show simulations under different assumptions on the genetic model and analyse real data sets by simply studying one locus with the permutation test Nota de contenido: Introduction -- Association Studies in Genetics -- The Nonparametric Permutation Methodology -- Statistical Problems of Allelic Association -- Power and Sample Size Simulations -- Case Study -- Conclusions -- References En línea: http://dx.doi.org/10.1007/978-3-642-20584-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33425 Permutation Testing for Isotonic Inference on Association Studies in Genetics [documento electrónico] / Luigi Salmaso ; SpringerLink (Online service) ; Rosa Arboretti ; Livio Corain ; Dario Mazzaro . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2011 . - VI, 72 p. 13 illus : online resource. - (SpringerBriefs in Statistics, ISSN 2191-544X) . ISBN : 978-3-642-20584-2 Idioma : Inglés (eng) Palabras clave: Pharmacy  Statistics  Human  genetics  Biotechnology  Biology  Technique  Psychometrics  for  Life  Sciences,  Medicine,  Health  Sciences  Genetics  Biological  Techniques Clasificación: 51 Matemáticas Resumen: The purpose of this book is to illustrate a new statistical approach to test allelic association and genotype-specific effects in the genetic study of diseases. There are some parametric and non-parametric methods available for this purpose. We deal with population-based association studies, but comparisons with other methods will also be drawn, analysing the advantages and disadvantages of each one, particularly with regard to power properties with small sample sizes. In this framework we will work out some nonparametric statistical permutation tests and likelihood-based tests to perform case-control analyses to study allelic association between marker, disease-gene and environmental factors. Permutation tests, in particular, will be extended to multivariate and more complex studies, where we deal with several genes and several alleles together. Furthermore, we show simulations under different assumptions on the genetic model and analyse real data sets by simply studying one locus with the permutation test Nota de contenido: Introduction -- Association Studies in Genetics -- The Nonparametric Permutation Methodology -- Statistical Problems of Allelic Association -- Power and Sample Size Simulations -- Case Study -- Conclusions -- References En línea: http://dx.doi.org/10.1007/978-3-642-20584-2 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33425

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