Probabilistic Methods for Bioinformatics

Written By Richard E. Neapolitan
Probabilistic Methods for Bioinformatics
  • Publsiher : Morgan Kaufmann
  • Release : 12 June 2009
  • ISBN : 9780080919362
  • Pages : 424 pages
  • Rating : 1/5 from 1 reviews
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Download or read book entitled Probabilistic Methods for Bioinformatics by author: Richard E. Neapolitan which was release on 12 June 2009 and published by Morgan Kaufmann with total page 424 pages . This book available in PDF, EPUB and Kindle Format. 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.

Probabilistic Methods for Bioinformatics

Probabilistic Methods for Bioinformatics
  • Author : Richard E. Neapolitan
  • Publisher : Morgan Kaufmann
  • Release Date : 2009-06-12
  • Total pages : 424
  • ISBN : 9780080919362
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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 ...

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
  • Total pages : 508
  • ISBN : 9780080919362
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Summary : 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 ...

Probabilistic Methods for Bionformatics

Probabilistic Methods for Bionformatics
  • Author : Richard E. Neapolitan
  • Publisher : Unknown
  • Release Date : 2009
  • Total pages : 406
  • ISBN : 9780080919362
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Summary : Read online Probabilistic Methods for Bionformatics written by Richard E. Neapolitan, published by which was released on 2009. Download full Probabilistic Methods for Bionformatics Books now! Available in PDF, ePub and Kindle....

Statistical Methods in Bioinformatics

Statistical Methods in Bioinformatics
  • Author : Warren J. Ewens,Gregory R. Grant
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-03-09
  • Total pages : 476
  • ISBN : 9780080919362
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Summary : There was a real need for a book that introduces statistics and probability as they apply to bioinformatics. This book presents an accessible introduction to elementary probability and statistics and describes the main statistical applications in the field....

Machine Learning in Bioinformatics

Machine Learning in Bioinformatics
  • Author : Yanqing Zhang,Jagath C. Rajapakse
  • Publisher : John Wiley & Sons
  • Release Date : 2009-02-23
  • Total pages : 400
  • ISBN : 9780080919362
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Summary : An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming ...

Theory and Mathematical Methods in Bioinformatics

Theory and Mathematical Methods in Bioinformatics
  • Author : Shiyi Shen
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-01-26
  • Total pages : 445
  • ISBN : 9780080919362
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Summary : This monograph addresses, in a systematic and pedagogical manner, the mathematical methods and the algorithms required to deal with the molecularly based problems of bioinformatics. Prominent attention is given to pair-wise and multiple sequence alignment algorithms, stochastic models of mutations, modulus structure theory and protein configuration analysis. Strong links to ...

Contemporary Artificial Intelligence

Contemporary Artificial Intelligence
  • Author : Richard E. Neapolitan
  • Publisher : CRC Press
  • Release Date : 2012-08-23
  • Total pages : 515
  • ISBN : 9780080919362
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Summary : 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 ...

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
  • Total pages : 386
  • ISBN : 9780080919362
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Summary : 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 ...

Statistical Methods in Bioinformatics

Statistical Methods in Bioinformatics
  • Author : W. Warren John Ewens,Gregory Robert Grant
  • Publisher : Springer Science & Business Media
  • Release Date : 2001
  • Total pages : 476
  • ISBN : 9780080919362
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Summary : Probability theory (i): one random variable. Probability theory (ii); many random variables. Statistics (i): an introduction to statistical inference. Stochastic processes (i): poisson processes and markov chains. Stochastic processes (iii): markov chains. Hidden markov models. Computationally intensive methods. Evolutionary models. Phylogenetic tree estimation. Basic notions in biology. C computational aspects ...

Computational Intelligence Methods for Bioinformatics and Biostatistics

Computational Intelligence Methods for Bioinformatics and Biostatistics
  • Author : Riccardo Rizzo,Paulo J.G. Lisboa
  • Publisher : Springer
  • Release Date : 2011-07-18
  • Total pages : 288
  • ISBN : 9780080919362
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Summary : This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010. The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections ...

Introduction to Mathematical Methods in Bioinformatics

Introduction to Mathematical Methods in Bioinformatics
  • Author : Alexander Isaev
  • Publisher : Springer
  • Release Date : 2006-10-04
  • Total pages : 294
  • ISBN : 9780080919362
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Summary : This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are ...

Bioinformatics

Bioinformatics
  • Author : Yu Liu
  • Publisher : CRC Press
  • Release Date : 2014-02-24
  • Total pages : 412
  • ISBN : 9780080919362
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Summary : This title includes a number of Open Access chapters. The book introduces bioinformatic and statistical methodology and shows approaches to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis....

Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics

Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics
  • Author : Benjamin Haibe-Kains,Frank Emmert-Streib
  • Publisher : Frontiers Media SA
  • Release Date : 2015-04-14
  • Total pages : 212
  • ISBN : 9780080919362
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Summary : Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thoroughly characterize biological systems of interest. High-throughput “omics” technologies enable to generate enormous quantities of data at the DNA, RNA, epigenetic and proteomic levels. One of the major challenges of the post-genomic era is ...

Introduction to Mathematical Methods in Bioinformatics

Introduction to Mathematical Methods in Bioinformatics
  • Author : Alexander Isaev
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-09-19
  • Total pages : 294
  • ISBN : 9780080919362
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Summary : This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are ...

Bioinformatics

Bioinformatics
  • Author : Ron D. Appel,Ernest Feytmans
  • Publisher : World Scientific
  • Release Date : 2009
  • Total pages : 443
  • ISBN : 9780080919362
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Summary : 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 10...