Author: Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 4947
Book Description
Author: Publisher: IOS Press
ISBN:
Category :
Languages : en
Pages : 4947
Book Description
Computational Methods in Systems Biology
Author: Vincent DanosPublisher: Springer Science & Business Media
ISBN: 3540253750
Category : Computers
Languages : en
Pages : 288
Book Description
The Computational Methods in Systems Biology (CMSB) workshop series was established in 2003 by Corrado Priami. The purpose of the workshop series is to help catalyze the convergence between computer scientists interested in language design, concurrency theory, software engineering or program verification, and physicists, mathematicians and biologists interested in the systems-level understanding of cellular processes. Systems biology was perceived as being increasingly in search of sophisticated modeling frameworks whether for representing and processing syst- level dynamics or for model analysis, comparison and refinement. One has here a clear-cut case of a must-explore field of application for the formal methods developed in computer science in the last decade. This proceedings consists of papers from the CMSB 2003 workshop. A good third of the 24 papers published here have a distinct formal methods origin; we take this as a confirmation that a synergy is building that will help solidify CMSB as a forum for cross-community exchange, thereby opening new theoretical avenues and making the field less of a potential application and more of a real one. Publication in Springer's new Lecture Notes in Bioinformatics (LNBI) offers particular visibility and impact, which we gratefully acknowledge. Our keynote speakers, Alfonso Valencia and Trey Ideker, gave challenging and somewhat humbling lectures: they made it clear that strong applications to systems biology are still some way ahead. We thank them all the more for accepting the invitation to speak and for the clarity and excitement they brought to the conference.
PRICAI 2004: Trends in Artificial Intelligence
Author: Chengqi ZhangPublisher: Springer Science & Business Media
ISBN: 3540228179
Category : Computers
Languages : en
Pages : 1043
Book Description
This book constitutes the refereed proceedings of the 8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004, held in Auckland, New Zealand in August 2004. The 94 revised full papers and 45 revised poster papers presented together with 3 invited contributions were carefully reviewed and selected from 356 submissions. The papers are organized in topical sections on logic and reasoning, knowledge representation and search, ontologies, planning, constraint satisfaction, machine learning, computational learning, Bayesian networks, evolutionary computing, neural networks, fuzzy logic, data mining, classification and clustering, case-based reasoning, information retrieval, agent technology, robotics, bioinformatics, image processing and computer vision, natural language processing, and speech understanding and interaction.
WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
Author: Osmar ZaïanePublisher: Springer Science & Business Media
ISBN: 3540203044
Category : Computers
Languages : en
Pages : 190
Book Description
This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Mining Web Data, WEBKDD 2002, held in Edmonton, Canada, in July 2002. The 10 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were selected from 23 submissions. The papers are organized in topical sections on categorization of users and usage, prediction and recommendation, and evaluation of algorithms.
Introduction to Systems Biology
Author: Sangdun ChoiPublisher: Springer Science & Business Media
ISBN: 1597455318
Category : Science
Languages : en
Pages : 549
Book Description
This book provides an introductory text for undergraduate and graduate students who are interested in comprehensive biological systems. The authors offer a broad overview of the field using key examples and typical approaches to experimental design. The volume begins with an introduction to systems biology and then details experimental omics tools. Other sections introduce the reader to challenging computational approaches. The final sections provide ideas for theoretical and modeling optimization in systemic biological researches. The book is an indispensable resource, providing a first glimpse into the state-of-the-art in systems biology.
Kernel Methods for Pattern Analysis
Author: John Shawe-TaylorPublisher: Cambridge University Press
ISBN: 9780521813976
Category : Computers
Languages : en
Pages : 520
Book Description
Publisher Description
The Practical Bioinformatician
Author: Limsoon WongPublisher: World Scientific
ISBN: 9812562346
Category : Computers
Languages : en
Pages : 539
Book Description
Computer scientists have increasingly been enlisted as OC bioinformaticiansOCO to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics: . OCo Overview of modern molecular biology and a broad spectrum of techniques from computer science OCo data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc. OCo In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences. OCo Incisive discussion of computational prediction of secondary structure of RNA sequences. OCo Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function. OCo Overview of methods for discovering proteinOCoprotein interactions. OCo Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions. OCo Case studies on analysis of phylogenies, functional annotation of proteins, construction of purpose-built integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery. Sample Chapter(s). Chapter 4: Techniques for Recognition of Translation Initiation Sites (385 KB). Chapter 10: Homology Search Methods (483 KB). Contents: Molecular Biology for the Practical Bioinformatician; Strategy and Planning of Bioinformatics Experiments; Data Mining Techniques for the Practical Bioinformatician; Techniques for Recognition of Translation Initiation Sites; How Neural Networks Find Promoters Using Recognition of Micro-Structural Promoter Components; Neural-Statistical Model of TATA-Box Motifs in Eukaryotes; Tuning the Dragon Promoter Finder System for Human Promoter Recognition; RNA Secondary Structure Prediction; Protein Localization Prediction; Homology Search Methods; Analysis of Phylogeny: A Case Study on Saururaceae; Functional Annotation and Protein Families: From Theory to Practice; Discovering ProteinOCoProtein Interactions; Techniques for Analysis of Gene Expression; Genome-Wide cDNA Oligo Probe Design and Its Applications in i>Schizosaccharomyces Pombe; Mining New Motifs from cDNA Sequence Data; Technologies for Biological Data Integration; Construction of Biological Databases: A Case Study on the Protein Phosphatase DataBase (PPDB); A Family Classification Approach to Functional Annotation of Proteins; Informatics for Efficient EST-Based Gene Discovery in Normalized and Subtracted cDNA Libraries. Readership: Computer scientists planning to be a bioinformatician; computer science undergraduates in their sophomore and/or senior years."
Phylogenetic Supertrees
Author: O. R. P. Bininda-EmondsPublisher: Springer Science & Business Media
ISBN: 9781402023293
Category : Computers
Languages : en
Pages : 568
Book Description
This is the first book on "phylogenetic supertrees", a recent, but controversial development for inferring evolutionary trees. Rather than analyze the combined primary character data directly, supertree construction proceeds by combining the tree topologies derived from those data. This difference in strategy has allowed for the exciting possibility of larger, more complete phylogenies than are otherwise currently possible, with the potential to revolutionize evolutionarily-based research. This book provides a comprehensive look at supertrees, ranging from the methods used to build supertrees to the significance of supertrees to bioinformatic and biological research. Reviews of many the major supertree methods are provided and four new techniques, including a Bayesian implementation of supertrees, are described for the first time. The far-reaching impact of supertrees on biological research is highlighted both in general terms and through specific examples from diverse clades such as flowering plants, even-toed ungulates, and primates. The book also critically examines the many outstanding challenges and problem areas for this relatively new field, showing the way for supertree construction in the age of genomics. Interdisciplinary contributions from the majority of the leading authorities on supertree construction in all areas of the bioinformatic community (biology, computer sciences, and mathematics) will ensure that this book is a valuable reference with wide appeal to anyone interested in phylogenetic inference.
Handbook of Constraint Programming
Author: Francesca RossiPublisher: Elsevier
ISBN: 0080463800
Category : Computers
Languages : en
Pages : 977
Book Description
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws on a wide range of techniques from artificial intelligence, computer science, databases, programming languages, and operations research. Constraint programming is currently applied with success to many domains, such as scheduling, planning, vehicle routing, configuration, networks, and bioinformatics.The aim of this handbook is to capture the full breadth and depth of the constraint programming field and to be encyclopedic in its scope and coverage. While there are several excellent books on constraint programming, such books necessarily focus on the main notions and techniques and cannot cover also extensions, applications, and languages. The handbook gives a reasonably complete coverage of all these lines of work, based on constraint programming, so that a reader can have a rather precise idea of the whole field and its potential. Of course each line of work is dealt with in a survey-like style, where some details may be neglected in favor of coverage. However, the extensive bibliography of each chapter will help the interested readers to find suitable sources for the missing details. Each chapter of the handbook is intended to be a self-contained survey of a topic, and is written by one or more authors who are leading researchers in the area.The intended audience of the handbook is researchers, graduate students, higher-year undergraduates and practitioners who wish to learn about the state-of-the-art in constraint programming. No prior knowledge about the field is necessary to be able to read the chapters and gather useful knowledge. Researchers from other fields should find in this handbook an effective way to learn about constraint programming and to possibly use some of the constraint programming concepts and techniques in their work, thus providing a means for a fruitful cross-fertilization among different research areas.The handbook is organized in two parts. The first part covers the basic foundations of constraint programming, including the history, the notion of constraint propagation, basic search methods, global constraints, tractability and computational complexity, and important issues in modeling a problem as a constraint problem. The second part covers constraint languages and solver, several useful extensions to the basic framework (such as interval constraints, structured domains, and distributed CSPs), and successful application areas for constraint programming.- Covers the whole field of constraint programming- Survey-style chapters- Five chapters on applications
An Inductive Logic Programming Approach to Statistical Relational Learning
Author: Kristian KerstingPublisher: IOS Press
ISBN: 9781586036744
Category : Computers
Languages : en
Pages : 258
Book Description
Talks about Logic Programming, Uncertainty Reasoning and Machine Learning. This book includes definitions that circumscribe the area formed by extending Inductive Logic Programming to cases annotated with probability values. It investigates the approach of Learning from proofs and the issue of upgrading Fisher Kernels to Relational Fisher Kernels.
