P M Pardalos

Biocomputing - Biocomputing P M Pardalos

Marc Notes: Includes bibliographical references / Proceedings of a conference on biocomputing, held at the University of Florida, February 25-27, 2001Table 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. Publisher Marketing: 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.

Contributor Bio:  Pardalos, Panos M Panos M. Pardalos is one of the leading experts in global optimization and control theory. V. Yatsenko's research is connected with control of bilinear systems, nonlinear estimation, control of quantum systems, and globabl optimization problems. Both Pardalos and Yatsenko have authored numerous publications including books and well-known scientific journals.