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OSt |
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20140310151458.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
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121116s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783642312083 |
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978-3-642-31208-3 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QH323.5 |
|
|---|
| Classification number |
QH324.2-324.25 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
570.285 |
| Edition number |
23 |
| 264 #1 - |
|---|
| -- |
Berlin, Heidelberg : |
| -- |
Springer Berlin Heidelberg : |
| -- |
Imprint: Springer, |
| -- |
2013. |
| 912 ## - |
|---|
| -- |
ZDB-2-SMA |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cazals, Frédéric. |
| Relator term |
editor. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Modeling in Computational Biology and Biomedicine |
| Medium |
[electronic resource] : |
| Remainder of title |
A Multidisciplinary Endeavor / |
| Statement of responsibility, etc |
edited by Frédéric Cazals, Pierre Kornprobst. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XXVI, 315 p. 85 illus., 65 illus. in color. |
| Other physical details |
online resource. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Foreword by Olivier Faugeras -- Foreword by Joël Janin -- Preface -- Part I Bioinformatics -- 1.Modeling Macro-molecular Complexes: a Journey Across Scales. F.Cazals, T.Dreyfus, and C.H. Robert -- 1.1.Introduction -- 1.2.Modeling Atomic Resolution -- 1.3.Modeling Large Assemblies -- 1.4.Outlook -- 1.5.Online Resources -- References -- 2.Modeling and Analysis of Gene Regulatory Networks. G.Bernot, J-P.Comet, A.Richard, M.Chaves, J-L.Gouzé, and F.Dayan -- 2.1.Introduction -- 2.2.Continuous and Hybrid Models of Genetic Regulatory Networks -- 2.3.Discrete Models of GRN -- 2.4.Outlook -- 2.5.Online Resources -- 2.6.Acknowledgments -- References -- Part II Biomedical Signal and Image Analysis -- 3.Noninvasive Cardiac Signal Analysis Using Data Decomposition Techniques. V.Zarzoso, O.Meste, P.Comon, D.G.Latcu, and N.Saoudi -- 3.1.Preliminaries and Motivation -- 3.2.T-Wave Alternans Detection via Principal Component Analysis -- 3.3.Atrial Activity Extraction via Independent Component Analysis -- 3.4.Conclusion and Outlook -- 3.5.Online Resources -- References -- 4.Deconvolution and Denoising for Confocal Microscopy. P.Pankajakshan, G.Engler, L.Blanc-Féraud, and J.Zerubia -- 4.1.Introduction -- 4.2.Development of the Auxiliary Computational Lens -- 4.3.Outlook -- 4.4.Selected Online Resources -- References -- 5.Statistical Shape Analysis of Surfaces in Medical Images Applied to the Tetralogy of Fallot Heart. K.McLeod, T.Mansi, M.Sermesant, G.Pongiglione, and X.Pennec -- 5.1.Introduction -- 5.2.Statistical Shape Analysis -- 5.3.Shape Analysis of ToF Data -- 5.4.Conclusion -- 5.5.Online Resources -- References -- 6.From Diffusion MRI to Brain Connectomics. A.Ghosh and R.Deriche -- 6.1.Introduction -- 6.2.A Brief History of NMR and MRI -- 6.3.Nuclear Magnetic Resonance and Diffusion -- 6.4.From Diffusion MRI to Tissue Microstructure -- 6.5.Computational Framework for Processing Diffusion MR Images -- 6.6.Tractography: Inferring the Connectivity -- 6.7.Clinical Applications 6.8.Conclusion -- 6.9.Online Resources -- References -- Part III Modeling in neuroscience -- 7.Single-Trial Analysis of Bioelectromagnetic Signals: The Quest for Hidden Information. M.Clerc, T.Papadopoulo, and C.Bénar -- 7.1.Introduction -- 7.2.Data-driven Approaches: Non-linear Dimensionality Reduction -- 7.3.Model-Driven Approaches: Matching Pursuit and its Extensions -- 7.4.Success Stories -- 7.5.Conclusion -- 7.6.Selected Online Resources -- References -- 8 Spike Train Statistics from Empirical Facts to Theory: The Case of the Retina. B.Cessac and A.Palacios -- 8.1.Introduction -- 8.2.Unraveling the Neural Code in the Retina via Spike Train Statistics Analysis -- 8.3.Spike Train Statistics from a Theoretical Perspective -- 8.4.Using Gibbs Distributions to Analysing Spike Trains Statistics -- 8.5.Conclusion -- 8.6.Outlook -- 8.7.Online Resources -- References -- Biology, Medicine and Biophysics -- Mathematics and Computer Science -- Index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mathematics. |
|
|---|
| Topical term or geographic name as entry element |
Bioinformatics. |
|
|---|
| Topical term or geographic name as entry element |
Mathematics. |
|
|---|
| Topical term or geographic name as entry element |
Mathematical and Computational Biology. |
|
|---|
| Topical term or geographic name as entry element |
Applications of Mathematics. |
|
|---|
| Topical term or geographic name as entry element |
Computational Biology/Bioinformatics. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kornprobst, Pierre. |
| Relator term |
editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Printed edition: |
| International Standard Book Number |
9783642312076 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-3-642-31208-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
