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Knowledge Discovery and Emergent Complexity in Bioinformatics

First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006. Revised Selected Papers

  • Editors
  • Karl Tuyls
  • Ronald Westra
  • Yvan Saeys
  • Ann Nowé
Conference proceedings KDECB 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4366)

Also part of the Lecture Notes in Bioinformatics book sub series (LNBI, volume 4366)

Table of contents

  1. Front Matter
  2. Ronald Westra, Karl Tuyls, Yvan Saeys, Ann Nowé
    Pages 1-9
  3. Ricardo Grau, Maria del C. Chavez, Robersy Sanchez, Eberto Morgado, Gladys Casas, Isis Bonet
    Pages 10-21
  4. Reinhard Guthke, Olaf Kniemeyer, Daniela Albrecht, Axel A. Brakhage, Ulrich Möller
    Pages 22-41
  5. Tero Harju, Chang Li, Ion Petre, Grzegorz Rozenberg
    Pages 42-60
  6. Sophia Katrenko, Pieter Adriaans
    Pages 61-80
  7. William H. Majoros, Uwe Ohler
    Pages 81-106
  8. Susanne Toepfer, Reinhard Guthke, Dominik Driesch, Dirk Woetzel, Michael Pfaff
    Pages 119-130
  9. Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
    Pages 131-144
  10. Peter Vrancx, Katja Verbeeck, Ann Nowé
    Pages 145-156
  11. Ronald L. Westra, Goele Hollanders, Geert Jan Bex, Marc Gyssens, Karl Tuyls
    Pages 157-170
  12. Ralf L. M. Peeters, Stef Zeemering
    Pages 171-182
  13. Back Matter

About these proceedings

Introduction

This book contains selected and revised papers of the International Symposium on Knowledge Discovery and Emergent Complexity in Bioinformatics (KDECB 2006), held at the University of Ghent, Belgium, May 10, 2006. In February 1943, the Austrian physicist Erwin Schrodi ¨ nger, one of the founding fathers of quantum mechanics, gave a series of lectures at Trinity College in Dublin titled “What Is Life? The Physical Aspect of the Living Cell and Mind. ” In these l- tures Schrodi ¨ nger stressed the fundamental differencesencountered between observing animate and inanimate matter, and advanced some, at the time, audacious hypotheses aboutthe nature andmolecularstructureof genes, some ten yearsbeforethe discoveries of Watson and Crick. Indeed, the rules of living matter, from the molecular level to the level of supraorganic ocking behavior, seem to violate the simple basic interactions found between fundamental particles as electrons and protons. It is as if the organic molecules in the cell ‘know’ that they are alive. Despite all external stochastic uct- tions and chaos, process and additive noise, this machinery has been ticking for at least 3. 8 billion years. Yet, we may safely assume that the laws that governphysicsalso steer these complex associations of synchronous and seemingly intentional dynamics in the cell.

Keywords

Alignment Bayesian network bioinformatics complexity data mining knowledge discovery learning machine learning modeling

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-71037-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-71036-3
  • Online ISBN 978-3-540-71037-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site