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Mathematical immunology is in a period of rapid expansion and excitement. At recent meetings, a common language and research direction has emerged amongst a world-class group of scientists and mathematicians. Mathematical Models and Immune Cell Biology aims to communicate these new ideas to a wider audience. The reader will be exposed to a variety of tools and methods that go hand-in-hand with the immunological processes being modeled. This volume contains chapters, written by immunologists and mathematicians, on thymocytes, on T cell interactions, activation, proliferation and homeostasis, as well as on dendritic cells, B cells and germinal centers. Chapters are devoted to measurement and imaging methods and to HIV and viral infections.
Bioinformatics. --- Biological models. --- Cell receptors. --- Immunology. --- Medicine. --- Immunology --- Lymphocytes --- Models, Biological --- Antibody-Producing Cells --- Immunity --- Immune System Phenomena --- Leukocytes, Mononuclear --- Cells --- Immune System --- Models, Theoretical --- Leukocytes --- Anatomy --- Phenomena and Processes --- Hemic and Immune Systems --- Investigative Techniques --- Blood Cells --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Blood --- T-Lymphocytes --- B-Lymphocytes --- Models, Immunological --- Adaptive Immunity --- Biology --- Health & Biological Sciences --- Microbiology & Immunology --- Mathematical models --- Mathematical models. --- Immunobiology --- Proteins. --- Systems biology. --- Biomedicine. --- Systems Biology. --- Computational Biology/Bioinformatics. --- Receptors. --- Life sciences --- Serology --- Organisms --- Cytology --- Cell membrane receptors --- Cell surface receptors --- Receptors, Cell --- Binding sites (Biochemistry) --- Cell membranes --- Proteins --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Data processing --- Proteins . --- Proteids --- Biomolecules --- Polypeptides --- Proteomics --- Bioinformatics --- Biological systems --- Molecular biology
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The purpose of this book is to present current mathematical and computational models that are used to describe and characterise the immunology of T cells. The reader will be exposed to a variety of tools/methods that go hand-in-hand with the T cell-mediated immunological process that is being modelled. We aim in the proposed book to emphasise the role that mathematical (or computational) modelling has already played in Immunology. Each chapter will provide an example of the contribution of mathematics to T cell immunology under one of the following four headings: i) Generation of hypotheses, ii) Quantification of immunological processes, iii) Definition of observables to measure given an experimental objective, iv) reconciling disparate (or even conflicting) experimental results. .
Immunology. --- Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Immunobiology --- Life sciences --- Serology --- Data processing --- T cells --- Immunology --- Mathematical models. --- T lymphocytes --- Thymus-dependent cells --- Thymus-dependent lymphocytes --- Thymus-derived cells --- Lymphocytes
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Biomathematics. Biometry. Biostatistics --- Molecular biology --- Biology --- Immunology. Immunopathology --- Biotechnology --- Programming --- immunologie --- bio-informatica --- biologie --- biotechnologie --- biometrie --- moleculaire biologie
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The purpose of this book is to present current mathematical and computational models that are used to describe and characterise the immunology of T cells. The reader will be exposed to a variety of tools/methods that go hand-in-hand with the T cell-mediated immunological process that is being modelled. We aim in the proposed book to emphasise the role that mathematical (or computational) modelling has already played in Immunology. Each chapter will provide an example of the contribution of mathematics to T cell immunology under one of the following four headings: i) Generation of hypotheses, ii) Quantification of immunological processes, iii) Definition of observables to measure given an experimental objective, iv) reconciling disparate (or even conflicting) experimental results. .
Biomathematics. Biometry. Biostatistics --- Immunology. Immunopathology --- immunologie --- bio-informatica
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Mathematical immunology is in a period of rapid expansion and excitement. At recent meetings, a common language and research direction has emerged amongst a world-class group of scientists and mathematicians. Mathematical Models and Immune Cell Biology aims to communicate these new ideas to a wider audience. The reader will be exposed to a variety of tools and methods that go hand-in-hand with the immunological processes being modeled. This volume contains chapters, written by immunologists and mathematicians, on thymocytes, on T cell interactions, activation, proliferation and homeostasis, as well as on dendritic cells, B cells and germinal centers. Chapters are devoted to measurement and imaging methods and to HIV and viral infections.
Biomathematics. Biometry. Biostatistics --- Molecular biology --- Biology --- Immunology. Immunopathology --- Biotechnology --- Programming --- immunologie --- bio-informatica --- biologie --- biotechnologie --- biometrie --- moleculaire biologie
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Biomathematics. Biometry. Biostatistics --- Immunology. Immunopathology --- immunologie --- bio-informatica
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