Research in Computational Molecular Biology

Research in Computational Molecular Biology PDF Author: Alberto Apostolico
Publisher: Springer Science & Business Media
ISBN: 3540332952
Category : Computers
Languages : en
Pages : 631

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Book Description
This book constitutes the refereed proceedings of the 10th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2006, held in Venice, Italy in April 2006. The 40 revised full papers presented together with abstracts of 7 keynote talks were carefully reviewed and selected from 212 submissions. As the top conference in computational molecular biology, RECOMB addresses all current issues in algorithmic, theoretical, and experimental bioinformatics.

Research in Computational Molecular Biology

Research in Computational Molecular Biology PDF Author: Alberto Apostolico
Publisher: Springer Science & Business Media
ISBN: 3540332952
Category : Computers
Languages : en
Pages : 631

Get Book Here

Book Description
This book constitutes the refereed proceedings of the 10th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2006, held in Venice, Italy in April 2006. The 40 revised full papers presented together with abstracts of 7 keynote talks were carefully reviewed and selected from 212 submissions. As the top conference in computational molecular biology, RECOMB addresses all current issues in algorithmic, theoretical, and experimental bioinformatics.

Genetic Programming III

Genetic Programming III PDF Author: John R. Koza
Publisher: Morgan Kaufmann
ISBN: 9781558605435
Category : Computers
Languages : en
Pages : 1516

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Book Description
Genetic programming (GP) is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, control, classification, system identification, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions.

Genetic Instabilities and Neurological Diseases

Genetic Instabilities and Neurological Diseases PDF Author: Robert D. Wells
Publisher: Elsevier
ISBN: 0080463770
Category : Science
Languages : en
Pages : 783

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Book Description
Genetic Instabilities and Neurological Diseases covers DNA repeat instability and neurological disorders, covering molecular mechanisms of repeat expansion, pathogenic mechanisms, clinical phenotype, parental gender effects, genotype-phenotype correlation, and diagnostic applications of the molecular data. This updated edition provides updates of these repeat expansion mutations, including the addition of many new chapters, and old chapters rewritten as extensions of the previous edition. This book is an invaluable reference source for neuroscientists, geneticists, neurologists, molecular biologists, genetic counsellors and students. - Contributions by most of the principal research teams in the area, edited by world-renowned leaders - Lays the background for future investigations on related diseases

RECOMB 2001

RECOMB 2001 PDF Author: Thomas Lengauer
Publisher:
ISBN: 9781581133530
Category : Molecular biology
Languages : en
Pages : 332

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Book Description


Algorithmics for Hard Problems

Algorithmics for Hard Problems PDF Author: Juraj Hromkovič
Publisher: Springer Science & Business Media
ISBN: 3662052695
Category : Computers
Languages : en
Pages : 548

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Book Description
Algorithmic design, especially for hard problems, is more essential for success in solving them than any standard improvement of current computer tech nologies. Because of this, the design of algorithms for solving hard problems is the core of current algorithmic research from the theoretical point of view as well as from the practical point of view. There are many general text books on algorithmics, and several specialized books devoted to particular approaches such as local search, randomization, approximation algorithms, or heuristics. But there is no textbook that focuses on the design of algorithms for hard computing tasks, and that systematically explains, combines, and compares the main possibilities for attacking hard algorithmic problems. As this topic is fundamental for computer science, this book tries to close this gap. Another motivation, and probably the main reason for writing this book, is connected to education. The considered area has developed very dynami cally in recent years and the research on this topic discovered several profound results, new concepts, and new methods. Some of the achieved contributions are so fundamental that one can speak about paradigms which should be in cluded in the education of every computer science student. Unfortunately, this is very far from reality. This is because these paradigms are not sufficiently known in the computer science community, and so they are insufficiently com municated to students and practitioners.

Morphogenesis

Morphogenesis PDF Author: Paul Bourgine
Publisher: Springer Science & Business Media
ISBN: 3642131743
Category : Technology & Engineering
Languages : en
Pages : 353

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Book Description
What are the relations between the shape of a system of cities and that of fish school? Which events should happen in a cell in order that it participates to one of the finger of our hands? How to interpret the shape of a sand dune? This collective book written for the non-specialist addresses these questions and more generally, the fundamental issue of the emergence of forms and patterns in physical and living systems. It is a single book gathering the different aspects of morphogenesis and approaches developed in different disciplines on shape and pattern formation. Relying on the seminal works of D’Arcy Thompson, Alan Turing and René Thom, it confronts major examples like plant growth and shape, intra-cellular organization, evolution of living forms or motifs generated by crystals. A book essential to understand universal principles at work in the shapes and patterns surrounding us but also to avoid spurious analogies.

Mining the Biomedical Literature

Mining the Biomedical Literature PDF Author: Hagit Shatkay
Publisher: MIT Press
ISBN: 0262017695
Category : Computers
Languages : en
Pages : 151

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Book Description
The authors offer an accessible introduction to key ideas in biomedical text mining. The chapters cover such topics as the sources of biomedical text; text-analysis methods in natural language processing; the tasks of information extraction, information retrieval, and text categorization; and methods for empirically assessing textmining systems.

Emerging Infectious Diseases

Emerging Infectious Diseases PDF Author:
Publisher:
ISBN:
Category : Communicable diseases
Languages : en
Pages : 374

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Book Description


Bayesian Network Technologies: Applications and Graphical Models

Bayesian Network Technologies: Applications and Graphical Models PDF Author: Mittal, Ankush
Publisher: IGI Global
ISBN: 159904143X
Category : Computers
Languages : en
Pages : 368

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Book Description
"This book provides an excellent, well-balanced collection of areas where Bayesian networks have been successfully applied; it describes the underlying concepts of Bayesian Networks with the help of diverse applications, and theories that prove Bayesian networks valid"--Provided by publisher.

Genetic and Evolutionary Computation — GECCO 2004

Genetic and Evolutionary Computation — GECCO 2004 PDF Author: Kalyanmoy Deb
Publisher: Springer
ISBN: 3540248544
Category : Computers
Languages : en
Pages : 1490

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Book Description
The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004. The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.