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Author: Una-May O'Reilly Publisher: Springer Science & Business Media ISBN: 0387232540 Category : Computers Languages : en Pages : 330
Book Description
The work described in this book was first presented at the Second Workshop on Genetic Programming, Theory and Practice, organized by the Center for the Study of Complex Systems at the University of Michigan, Ann Arbor, 13-15 May 2004. The goal of this workshop series is to promote the exchange of research results and ideas between those who focus on Genetic Programming (GP) theory and those who focus on the application of GP to various re- world problems. In order to facilitate these interactions, the number of talks and participants was small and the time for discussion was large. Further, participants were asked to review each other's chapters before the workshop. Those reviewer comments, as well as discussion at the workshop, are reflected in the chapters presented in this book. Additional information about the workshop, addendums to chapters, and a site for continuing discussions by participants and by others can be found at http://cscs.umich.edu:8000/GPTP-20041. We thank all the workshop participants for making the workshop an exciting and productive three days. In particular we thank all the authors, without whose hard work and creative talents, neither the workshop nor the book would be possible. We also thank our keynote speakers Lawrence ("Dave") Davis of NuTech Solutions, Inc., Jordan Pollack of Brandeis University, and Richard Lenski of Michigan State University, who delivered three thought-provoking speeches that inspired a great deal of discussion among the participants.
Author: Una-May O'Reilly Publisher: Springer Science & Business Media ISBN: 0387232540 Category : Computers Languages : en Pages : 330
Book Description
The work described in this book was first presented at the Second Workshop on Genetic Programming, Theory and Practice, organized by the Center for the Study of Complex Systems at the University of Michigan, Ann Arbor, 13-15 May 2004. The goal of this workshop series is to promote the exchange of research results and ideas between those who focus on Genetic Programming (GP) theory and those who focus on the application of GP to various re- world problems. In order to facilitate these interactions, the number of talks and participants was small and the time for discussion was large. Further, participants were asked to review each other's chapters before the workshop. Those reviewer comments, as well as discussion at the workshop, are reflected in the chapters presented in this book. Additional information about the workshop, addendums to chapters, and a site for continuing discussions by participants and by others can be found at http://cscs.umich.edu:8000/GPTP-20041. We thank all the workshop participants for making the workshop an exciting and productive three days. In particular we thank all the authors, without whose hard work and creative talents, neither the workshop nor the book would be possible. We also thank our keynote speakers Lawrence ("Dave") Davis of NuTech Solutions, Inc., Jordan Pollack of Brandeis University, and Richard Lenski of Michigan State University, who delivered three thought-provoking speeches that inspired a great deal of discussion among the participants.
Author: Rick Riolo Publisher: Springer Science & Business Media ISBN: 1441989838 Category : Computers Languages : en Pages : 322
Book Description
Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza's development of human-competitive electronic circuit designs; David Goldberg's application of "competent GA" methodology to GP; Jason Daida's discovery of a new set of factors underlying the dynamics of GP starting from applied research; and Stephen Freeland's essay on the lessons of biology for GP and the potential impact of GP on evolutionary theory.
Author: Donna M. McDonald-McGinn Publisher: Academic Press ISBN: 0128160489 Category : Medical Languages : en Pages : 526
Book Description
The Chromosome 22q11.2 Deletion Syndrome: A Multidisciplinary Approach to Diagnosis and Treatment serves as the first comprehensive, user-friendly resource on the etiology, prognosis, and recurrence risk associated with the chromosome 22q11.2 deletion syndrome. Leading international contributors cover the background, genetics, testing methods, and pathophysiology of 22q11.2DS, placing emphasis on a strong foundation for multidisciplinary treatment strategies. Written by specialists in every applicable subspecialty, such as, cardiology, immunology, endocrinology, gastroenterology, hematology, ophthalmology, neurology, and psychiatry, among other fields. This book presents an authoritative resource with full color images that enhance concept illustration and aid in real-time decision-making. As 22q11.2 deletion syndrome has become a model for understanding rare and frequent anomalies, numerous medical issues, cognitive and behavioral phenotypes, and later onset conditions, this text will become the go to resource for clinicians, researchers, trainees, and motivated family members, in gaining a full understanding of this complex chromosomal disorder. - Provides a complete description of 22q11.2 deletion syndrome for healthcare professionals, researchers, trainees, and families affected by this common condition - Presents diagnostic and treatment strategies to help tackle this complex and often undiagnosed and therefore undertreated condition - Covered in a user-friendly, practical format that emphasizes evidence-based evaluation and treatment derived from the latest clinical experience and research in the field - Features leading international contributors in numerous sub-specialties, representing the multisystem nature of this condition - Includes full color figures, flow charts, tables, and patient images to guide real-time decision-making
Author: Andreas Ziegler Publisher: John Wiley & Sons ISBN: 3527633669 Category : Science Languages : en Pages : 522
Book Description
A Statistical Approach to Genetic Epidemiology After studying statistics and mathematics at the University of Munich and obtaining his doctoral degree from the University of Dortmund, Andreas Ziegler received the Johann-Peter-Süssmilch-Medal of the German Association for Medical Informatics, Biometry and Epidemiology for his post-doctoral work on “Model Free Linkage Analysis of Quantitative Traits” in 1999. In 2004, he was one of the recipients of the Fritz-Linder-Forum-Award from the German Association for Surgery.
Author: Tarunveer Singh Ahluwalia Publisher: Frontiers Media SA ISBN: 2832544673 Category : Medical Languages : en Pages : 155
Book Description
Metabolic syndrome (MetS) is a set of co-morbidities that collectively increase an individual’s risk of developing cardiovascular disease, stroke, and type 2 diabetes mellitus (T2D). Per the World Health Organization (WHO), MetS is typically characterized by obesity, insulin resistance, hypertension, and hyperlipidemia. Building on this point, some of the major risk factors for development of MetS include increased weight or an obese phenotype, lack of physical activity, and genetics. Interestingly, the last decade has witnessed a deluge of Genome-Wide Association Studies (GWAS) that have linked hundreds of genomic with both collective MetS traits, as well as individual metabolic disorders sitting within it. Currently, in the post-GWAS era, the focus has shifted to characterization of these novel genomic to establish causality and disease relevance. This is being pursued by way of functional validation such as gain- and loss-of-function studies, investigating resulting metabolic phenotypes, mechanisms and pathways underlying these phenotypes, their prevalence and potential for risk stratification across populations, and finally, identification of therapeutic targets for pharmacological intervention.
Author: M. Neale Publisher: Springer Science & Business Media ISBN: 9401580189 Category : Medical Languages : en Pages : 503
Book Description
Few would dispute the truth of the statement `People are Different', but there is much controversy over why. This book authoritatively explains the methods used to understand human variation, and extends them far beyond the primary `nature or nurture' question. After chapters on basic statistics, biometrical genetics, matrix algebra and path analysis, there is a state-of-the-art account of how to fit genetic models using the LISREL package. The authors explain not only the assumptions of the twin method, but how to test them. The elementary model is expanded to cover sex limitation, sibling interaction, multivariate and longitudinal data, observer ratings, and twin-family studies. Throughout, the methods are illustrated by applications to diverse areas such as obesity, major depression, alcohol comsumption, delinquency, allergies, and common fears.
Author: M K Razdan Publisher: CRC Press ISBN: 1439844062 Category : Science Languages : en Pages : 621
Book Description
Potato is the most significant non-cereal crop. Much attention has been paid to this commercially important crop. The aim of this volume is to capture the recent advances made in improving potatoes using traditional breeding methods as well as genetic engineering technology. The book provides a critical appraisal of the state-of-the-art finding on
Author: Melanie Mitchell Publisher: MIT Press ISBN: 9780262631853 Category : Computers Languages : en Pages : 226
Book Description
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines. An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.
Author: Stefan-M. Pulst Publisher: Contemporary Neurology ISBN: 9780195129755 Category : Medical Languages : en Pages : 496
Book Description
Neurogenetics is intended for any physician or scientist who manages patients with inherited diseases of the nervous system. It presents the clinical phenotypes of the most commonly inherited neurologic diseases, and their molecular pathogenesis, followed by a description of the appropriate tests to be used in diagnosis. Two introductory chapters familiarize the nongeneticist with medical genetic terminology and molecular genetic techniques useful in the analysis of genetic disease and genetic testing. Subsequent chapters examine major neurologic disorders caused by single defects, as well as disease phenotypes such as Alzheimer disease or amyotrophic lateral sclerosis which may be caused by defects in single genes, but may also be seen as sporadic diseases. The genetic components of other common neurologic disorders, such as epilepsy, multiple sclerosis, migraine, and stroke are all covered in detail. The final chapter discusses genetic counseling of symptomatic and pre-symptomatic individuals. Throughout, chapters discuss genotype/phenotype correlations and, where appropriate, animal models for inherited human neurologic diseases. Several chapters are devoted to recently discovered diseases caused by unstable DNA repeats. Special emphasis is placed on conveying how DNA testing can be applied to the daily practice of geneticists and neurologists.
Author: Una-May O'Reilly
Author: Una-May O'Reilly
Author: Rick Riolo
Author: Laura Dean
Author: Donna M. McDonald-McGinn
Author: Andreas Ziegler
Author: Tarunveer Singh Ahluwalia
Author: M. Neale
Author: M K Razdan
Author: Melanie Mitchell
Author: Stefan-M. Pulst