Biocomputing / Edition 1

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In the quest to understand and model the healthy or sick human body, re­ searchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is pushing the envelope of a new field we call Biomedical Computing, as an exciting frontier among signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine. A conference on Biocomputing was held during February 25-27, 2001 at the University of Florida. The conference was sponsored by the Center for Applied Optimization, the Computational Neuroengineering Center, the Biomedical En­ gineering Program (through a Whitaker Foundation grant), the Brain Institute, the School of Engineering, and the University of Florida Research & Graduate Programs. The conference provided a forum for researchers to discuss and present new directions in Biocomputing. The well-attended three days event was highlighted by the presence of top researchers in the field who presented their work in Biocomputing. This volume contains a selective collection of ref­ ereed papers based on talks presented at this conference. You will find seminal contributions in genomics, global optimization, computational neuroscience, FMRI, brain dynamics, epileptic seizure prediction and cancer diagnostics. We would like to take the opportunity to thank the sponsors, the authors of the papers, the anonymous referees, and Kluwer Academic Publishers for making the conference successful and the publication of this volume possible. Panos M. Pardalos and Jose C.

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Product Details

  • ISBN-13: 9781402006418
  • Publisher: Springer US
  • Publication date: 6/30/2002
  • Series: Biocomputing Series, #1
  • Edition description: 2002
  • Edition number: 1
  • Pages: 264
  • Product dimensions: 0.75 (w) x 9.21 (h) x 6.14 (d)

Table of Contents

Preface. 1. Making Sense of Brain Waves: The Most Baffling Frontier in Neuroscience; W.J. Freeman. 2. Computational and Interpretive Genomics; S.A. Benner. 3. Optimized Needle Biopsy Strategies for Prostate Cancer Detection; A. Sofer, J. Zeng. 4. Phase Entrainment and Predictability of Epileptic Seizures; L.D. Iasemidis, et al. 5. Self-Organizing Maps; J. Si, et al. 6. Finding Transition States Using the LTP Algorithm; C. Cardenas-Lailhacar, M.C. Zerner. 7. A Simple Approximation Algorithm for Nonoverlapping Local Alignments (Weighted independent Sets of Axis Parallel Rectangles); P. Berman, B. DasGupta. 8. Combined Application of Global Optimization and Nonlinear Dynamics to Detect State Resetting in Human Epilepsy; J.C. Sackellares, et al. 9. Functional Magnetic Resonance Imaging Data Analysis with Information-theoretic Approaches; Qun Zhao, et al. 10. Yeast SAGE Expression Levels are Related to Calculated mRNA Folding Free Energies; W. Seffens, et al. 11. Sources and Sinks in Medical Image Analysis; K. Siddiqi. 12. Classical and Quantum Controlled Lattices: Self-Organization, Optimization and Biomedical Applications; P.M. Pardalos, et al. 13. Computational Methods for Epilepsy Diagnosis. Visual Perception and EEG; R. Ruseckaite. 14. Hardness and the Potential Energy Function in Internal Rotations: A Generalized Symmetry-Adapted Interpolation Procedure; C. Cardenas-Lailhacar.

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