Advertisement

Modeling in Computational Biology and Biomedicine

A Multidisciplinary Endeavor

  • Frédéric Cazals
  • Pierre Kornprobst

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Bioinformatics

    1. Front Matter
      Pages 1-1
    2. Frédéric Cazals, Tom Dreyfus, Charles H. Robert
      Pages 3-45
    3. Gilles Bernot, Jean-Paul Comet, Adrien Richard, Madalena Chaves, Jean-Luc Gouzé, Frédéric Dayan
      Pages 47-80
  3. Biomedical Signal and Image Analysis

    1. Front Matter
      Pages 81-81
    2. Vicente Zarzoso, Olivier Meste, Pierre Comon, Decebal Gabriel Latcu, Nadir Saoudi
      Pages 83-116
    3. Praveen Pankajakshan, Gilbert Engler, Laure Blanc-Féraud, Josiane Zerubia
      Pages 117-163
    4. Kristin McLeod, Tommaso Mansi, Maxime Sermesant, Giacomo Pongiglione, Xavier Pennec
      Pages 165-191
    5. Aurobrata Ghosh, Rachid Deriche
      Pages 193-234
  4. Modeling in Neuroscience

    1. Front Matter
      Pages 235-235
    2. Maureen Clerc, Théodore Papadopoulo, Christian Bénar
      Pages 237-259
  5. Back Matter
    Pages 303-315

About this book

Introduction

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.

Keywords

92B99, 92-08 applied mathematics bioinformatics biomedicine mathematical biology neuroscience

Editors and affiliations

  • Frédéric Cazals
    • 1
  • Pierre Kornprobst
    • 2
  1. 1., Algorithms-Biology-StructureINRIA Sophia Antipolis - MéditerranéeSophia AntipolisFrance
  2. 2., NeuroMathComp project teamINRIA Sophia Antipolis - MéditerranéeSophia AntipolisFrance

Bibliographic information

Industry Sectors
Pharma
Energy, Utilities & Environment