| Description |
1 online resource |
| Contents |
Part 1. Bioinformatics -- Modeling Macromolecular Complexes: A Journey Across Scales / Frédéric Cazals, Tom Dreyfus and Charles H. Robert -- Modeling and Analysis of Gene Regulatory Networks / Gilles Bernot, Jean-Paul Comet, Adrien Richard, Madalena Chaves and Jean-Luc Gouzé, et al. -- Part 2. Biomedical signal and image analysis -- Noninvasive Cardiac Signal Analysis Using Data Decomposition Techniques / Vicente Zarzoso, Olivier Meste, Pierre Comon, Decebal Gabriel Latcu and Nadir Saoudi -- Deconvolution and Denoising for Confocal Microscopy / Praveen Pankajakshan, Gilbert Engler, Laure Blanc-Féraud and Josiane Zerubia -- Statistical Shape Analysis of Surfaces in Medical Images Applied to the Tetralogy of Fallot Heart / Kristin McLeod, Tommaso Mansi, Maxime Sermesant, Giacomo Pongiglione and Xavier Pennec -- From Diffusion MRI to Brain Connectomics / Aurobrata Ghosh and Rachid Deriche -- Part 3. Modeling in neuroscience -- Single-Trial Analysis of Bioelectromagnetic Signals: The Quest for Hidden Information / Maureen Clerc, Théodore Papadopoulo and Christian Bénar -- Spike Train Statistics from Empirical Facts to Theory: The Case of the Retina / Bruno Cessac and Adrian G. Palacios |
| Summary |
Computational biology, mathematical biology, biology and biomedicine are currently undergoing spectacular progresses due to a synergy between technological advances and inputs from physics, chemistry, mathematics, statistics and computer science. The goal of this book is to evidence this synergy by describing selected developments in the following fields: bioinformatics, biomedicine and neuroscience. This work is unique in two respects - first, by the variety and scales of systems studied and second, by its presentation: Each chapter provides the biological or medical context, follows up with mathematical or algorithmic developments triggered by a specific problem and concludes with one or two success stories, namely new insights gained thanks to these methodological developments. It also highlights some unsolved and outstanding theoretical questions, with a potentially high impact on these disciplines. Two communities will be particularly interested in this book. The first one is the vast community of applied mathematicians and computer scientists, whose interests should be captured by the added value generated by the application of advanced concepts and algorithms to challenging biological or medical problems. The second is the equally vast community of biologists. Whether scientists or engineers, they will find in this book a clear and self-contained account of concepts and techniques from mathematics and computer science, together with success stories on their favorite systems. The variety of systems described represents a panoply of complementary conceptual tools. On a practical level, the resources listed at the end of each chapter (databases, software) offer invaluable support for getting started on a specific topic in the fields of biomedicine, bioinformatics and neuroscience |
| Analysis |
Mathematics |
|
Mathematical and Computational Biology |
|
Applications of Mathematics |
|
Computational Biology/Bioinformatics |
| Bibliography |
Includes bibliographical references and indexes |
| Notes |
English |
| Subject |
Computational biology.
|
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Biomedical engineering -- Mathematical models
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Biomedical engineering -- Computer simulation
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Biological models.
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Computational Biology -- methods
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Computer Simulation
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Models, Biological
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Computational Biology
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simulation.
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NATURE -- Reference.
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SCIENCE -- Life Sciences -- Biology.
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SCIENCE -- Life Sciences -- General.
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Ingeniería biomédica -- Modelos matemáticos
|
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Ingeniería biomédica -- Simulación por ordenador
|
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Modelos biológicos
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Biological models
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Biomedical engineering -- Computer simulation
|
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Biomedical engineering -- Mathematical models
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Computational biology
|
| Form |
Electronic book
|
| Author |
Cazals, Frédéric
|
|
Kornprobst, Pierre.
|
| LC no. |
2012949649 |
| ISBN |
9783642312083 |
|
364231208X |
|
3642312071 |
|
9783642312076 |
|
9781283849494 |
|
1283849496 |
|
