Probabilistic Methods for Bioinformatics

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  • Publisher : Morgan Kaufmann
  • Release : 12 June 2009
  • ISBN : 0080919367
  • Page : 424 pages
  • Rating : 1/5 from 1 voters

Probabilistic Methods for Bioinformatics Book PDF summary

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics. Rather than getting bogged down in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis. Unique coverage of probabilistic reasoning methods applied to bioinformatics data--those methods that are likely to become the standard analysis tools for bioinformatics. Shares insights about when and why probabilistic methods can and cannot be used effectively; Complete review of Bayesian networks and probabilistic methods with a practical approach.

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Probabilistic Methods for Bioinformatics

Probabilistic Methods for Bioinformatics
  • Author : Richard E. Neapolitan
  • Publisher : Morgan Kaufmann
  • Release Date : 2009-06-12
  • ISBN : 0080919367
DOWNLOAD BOOKProbabilistic Methods for Bioinformatics

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics. Rather than getting bogged down in proofs and algorithms, probabilistic

Probabilistic Modeling in Bioinformatics and Medical Informatics

Probabilistic Modeling in Bioinformatics and Medical Informatics
  • Author : Dirk Husmeier,Richard Dybowski,Stephen Roberts
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-03-30
  • ISBN : 9781846281198
DOWNLOAD BOOKProbabilistic Modeling in Bioinformatics and Medical Informatics

Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering

Statistical Methods in Bioinformatics

Statistical Methods in Bioinformatics
  • Author : Warren J. Ewens,Gregory R. Grant
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-03-30
  • ISBN : 9780387266480
DOWNLOAD BOOKStatistical Methods in Bioinformatics

Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods. The main

Biological Sequence Analysis

Biological Sequence Analysis
  • Author : Richard Durbin,Durbin Richard,Sean R. Eddy,R. Eddy,Sean Eddy,Anders Krogh,Graeme Mitchison
  • Publisher : Cambridge University Press
  • Release Date : 1998-04-23
  • ISBN : 0521629713
DOWNLOAD BOOKBiological Sequence Analysis

Presents up-to-date computer methods for analysing DNA, RNA and protein sequences.

Probabilistic Methods for Financial and Marketing Informatics

Probabilistic Methods for Financial and Marketing Informatics
  • Author : Richard E. Neapolitan,Xia Jiang
  • Publisher : Elsevier
  • Release Date : 2010-07-26
  • ISBN : 9780080555676
DOWNLOAD BOOKProbabilistic Methods for Financial and Marketing Informatics

Probabilistic Methods for Financial and Marketing Informatics aims to provide students with insights and a guide explaining how to apply probabilistic reasoning to business problems. Rather than dwelling on rigor, algorithms, and proofs of theorems, the authors concentrate on showing examples and using the software package Netica to represent and solve problems. The book contains unique coverage of probabilistic reasoning topics applied to business problems, including marketing, banking, operations management, and finance. It shares insights about when and why probabilistic

Bayesian Methods in Structural Bioinformatics

Bayesian Methods in Structural Bioinformatics
  • Author : Thomas Hamelryck,Kanti Mardia,Jesper Ferkinghoff-Borg
  • Publisher : Springer
  • Release Date : 2012-03-23
  • ISBN : 9783642272257
DOWNLOAD BOOKBayesian Methods in Structural Bioinformatics

This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal

Probabilistic Methods for Bionformatics

Probabilistic Methods for Bionformatics
  • Author : Richard E. Neapolitan
  • Publisher : Unknown
  • Release Date : 2009
  • ISBN : OCLC:647821722
DOWNLOAD BOOKProbabilistic Methods for Bionformatics

Bioinformatics

Bioinformatics
  • Author : Ron D. Appel,Ernest Feytmans
  • Publisher : World Scientific
  • Release Date : 2009
  • ISBN : 9789812838780
DOWNLOAD BOOKBioinformatics

Biological research and recent technological advances have resulted in an enormous increase in research data that require large storage capacities, powerful computing resources, and accurate data analysis algorithms. Bioinformatics is the field that provides these resources to life science researchers. The Swiss Institute of Bioinformatics (SIB), which has celebrated its 10th anniversary in 2008, is an institution of national importance, recognized worldwide for its state-of-the-art work. Organized as a federation of bioinformatics research groups from Swiss universities and research institutes, the

Using the Mathematics Literature

Using the Mathematics Literature
  • Author : Kristine K. Fowler
  • Publisher : CRC Press
  • Release Date : 2004-05-25
  • ISBN : 9781482276442
DOWNLOAD BOOKUsing the Mathematics Literature

This reference serves as a reader-friendly guide to every basic tool and skill required in the mathematical library and helps mathematicians find resources in any format in the mathematics literature. It lists a wide range of standard texts, journals, review articles, newsgroups, and Internet and database tools for every major subfield in mathemati

Artificial Intelligence

Artificial Intelligence
  • Author : Richard E. Neapolitan,Xia Jiang
  • Publisher : CRC Press
  • Release Date : 2018-03-12
  • ISBN : 9781351384391
DOWNLOAD BOOKArtificial Intelligence

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section

Computational Genomics and structural Bioinformatics in Microbial Science

Computational Genomics and structural Bioinformatics in Microbial Science
  • Author : Mohammed Kuddus,Saumya Patel,Dhaval K. Acharya
  • Publisher : Frontiers Media SA
  • Release Date : 2022-03-09
  • ISBN : 9782889746255
DOWNLOAD BOOKComputational Genomics and structural Bioinformatics in Microbial Science

Bioinformatics Research and Applications

Bioinformatics Research and Applications
  • Author : Zhipeng Cai,Oliver Eulenstein,Daniel Janies,Daniel Schwartz
  • Publisher : Springer
  • Release Date : 2013-05-13
  • ISBN : 9783642380365
DOWNLOAD BOOKBioinformatics Research and Applications

This book constitutes the refereed proceedings of the 9th International Symposium on Bioinformatics Research and Applications, ISBRA 2013, held in Charlotte, NC, USA, in May 2013. The 25 revised full papers presented together with 4 invited talks were carefully reviewed and selected from 46 submissions. The papers cover a wide range of biomedical databases and data integration, high-performance bio-computing, biomolecular imaging, high-throughput sequencing data analysis, bio-ontologies, molecular evolution, comparative genomics and phylogenomics, molecular modeling and simulation, pattern discovery and classification, computational proteomics, population genetics, data

Modeling the Internet and the Web

Modeling the Internet and the Web
  • Author : Pierre Baldi,Paolo Frasconi,Padhraic Smyth
  • Publisher : John Wiley & Sons Incorporated
  • Release Date : 2003-07-07
  • ISBN : UOM:39015060848689
DOWNLOAD BOOKModeling the Internet and the Web

Despite its haphazard growth, the Web hides powerful underlying regularities - from the organization of its links to the patterns found in its use by millions of users. Probabilistic modelling allows many of these regularities to be predicted on the basis of theoretical models based on statistical methodology.

Contemporary Artificial Intelligence

Contemporary Artificial Intelligence
  • Author : Richard E. Neapolitan
  • Publisher : CRC Press
  • Release Date : 2012-08-25
  • ISBN : 9781466573192
DOWNLOAD BOOKContemporary Artificial Intelligence

The notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000. While these two artificial entities do not exist, the algorithms of AI have been able to address many real issues, from performing medical diagnoses to navigating difficult terrain to monitoring possible failures

Bioinformatics Research and Applications

Bioinformatics Research and Applications
  • Author : Ion Mandoiu,Rajshekhar Sunderraman,Alexander Zelikovsky
  • Publisher : Springer
  • Release Date : 2008-04-30
  • ISBN : 9783540794509
DOWNLOAD BOOKBioinformatics Research and Applications

This book constitutes the refereed proceedings of the Fourth International Symposium on Bioinformatics Research and Applications, ISBRA 2008, held in Atlanta, GA, USA in May 2008. The 35 revised full papers presented together with 6 workshop papers and 6 invited papers were carefully reviewed and selected from a total of 94 submissions. The papers cover a wide range of topics, including clustering and classification, gene expression analysis, gene networks, genome analysis, motif finding, pathways, protein structure prediction, protein domain interactions, phylogenetics, and software tools.