Biocomputing

Includes seminal contributions in genomics, global optimization in biomedicine, computational neuroscience, FMRI, brain dynamics, and epileptic seizure prediction. This volume is suitable for students of biomedical engineering and biocomputing, and to the scientists in various disciplines who need to learn more about biomedical computing.

In the quest to understand and model healthy or sick human body functions, researchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is advancing the development of the new field of biomedical computing, which is an interface between signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine. This volume contains a collection of refereed papers. Included are seminal contributions in genomics, global optimization in biomedicine, computational neuroscience, FMRI, brain dynamics, epileptic seizure prediction and cancer diagnostics. Audience: The book is addressed not only to students of biomedical engineering and biocomputing, but to all scientists in various disciplines who need to learn more about biomedical computing.

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.