Hidden Markov Models And Some Applications In Bioinformatics

DOWNLOAD

Download Hidden Markov Models And Some Applications In Bioinformatics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Hidden Markov Models And Some Applications In Bioinformatics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Hidden Markov Models And Some Applications In Bioinformatics

DOWNLOAD
Author : Maryam Alyasin Arvizu
language : en
Publisher:
Release Date : 2003

Hidden Markov Models And Some Applications In Bioinformatics written by Maryam Alyasin Arvizu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Algorithms categories.

Handbook Of Hidden Markov Models In Bioinformatics

DOWNLOAD
Author : Martin Gollery
language : en
Publisher: CRC Press
Release Date : 2008-06-12

Handbook Of Hidden Markov Models In Bioinformatics written by Martin Gollery and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-12 with Computers categories.

Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs). The book begins with discussions on key HMM and related profile methods, incl

Hidden Markov Models For Bioinformatics

DOWNLOAD
Author : T. Koski
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-30

Hidden Markov Models For Bioinformatics written by T. Koski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-30 with Mathematics categories.

The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known architectures (e.g., profile HMM) used in genome analysis. Audience: This book will be of interest to advanced undergraduate and graduate students with a fairly limited background in probability theory, but otherwise well trained in mathematics and already familiar with at least some of the techniques of algorithmic sequence analysis.

Semi Markov Chains And Hidden Semi Markov Models Toward Applications

DOWNLOAD
Author : Vlad Stefan Barbu
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-01-07

Semi Markov Chains And Hidden Semi Markov Models Toward Applications written by Vlad Stefan Barbu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-07 with Mathematics categories.

Here is a work that adds much to the sum of our knowledge in a key area of science today. It is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. A unique feature of the book is the use of discrete time, especially useful in some specific applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis. The book is mainly intended for applied probabilists and statisticians interested in semi-Markov chains theory, reliability and DNA analysis, and for theoretical oriented reliability and bioinformatics engineers.

Hidden Markov Models And Applications

DOWNLOAD
Author : Nizar Bouguila
language : en
Publisher: Springer Nature
Release Date : 2022-05-19

Hidden Markov Models And Applications written by Nizar Bouguila and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-19 with Technology & Engineering categories.

This book focuses on recent advances, approaches, theories, and applications related Hidden Markov Models (HMMs). In particular, the book presents recent inference frameworks and applications that consider HMMs. The authors discuss challenging problems that exist when considering HMMs for a specific task or application, such as estimation or selection, etc. The goal of this volume is to summarize the recent advances and modern approaches related to these problems. The book also reports advances on classic but difficult problems in HMMs such as inference and feature selection and describes real-world applications of HMMs from several domains. The book pertains to researchers and graduate students, who will gain a clear view of recent developments related to HMMs and their applications.

Hidden Markov Processes

DOWNLOAD
Author : M. Vidyasagar
language : en
Publisher: Princeton University Press
Release Date : 2014-08-24

Hidden Markov Processes written by M. Vidyasagar and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-24 with Mathematics categories.

This book explores important aspects of Markov and hidden Markov processes and the applications of these ideas to various problems in computational biology. The book starts from first principles, so that no previous knowledge of probability is necessary. However, the work is rigorous and mathematical, making it useful to engineers and mathematicians, even those not interested in biological applications. A range of exercises is provided, including drills to familiarize the reader with concepts and more advanced problems that require deep thinking about the theory. Biological applications are taken from post-genomic biology, especially genomics and proteomics. The topics examined include standard material such as the Perron-Frobenius theorem, transient and recurrent states, hitting probabilities and hitting times, maximum likelihood estimation, the Viterbi algorithm, and the Baum-Welch algorithm. The book contains discussions of extremely useful topics not usually seen at the basic level, such as ergodicity of Markov processes, Markov Chain Monte Carlo (MCMC), information theory, and large deviation theory for both i.i.d and Markov processes. The book also presents state-of-the-art realization theory for hidden Markov models. Among biological applications, it offers an in-depth look at the BLAST (Basic Local Alignment Search Technique) algorithm, including a comprehensive explanation of the underlying theory. Other applications such as profile hidden Markov models are also explored.

Hidden Markov Models And Probabilistic Learning With Applications To Bioinformatics

DOWNLOAD
Author : Timo Koski
language : en
Publisher:
Release Date : 1999

Hidden Markov Models And Probabilistic Learning With Applications To Bioinformatics written by Timo Koski and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.

Introduction To Hidden Semi Markov Models

DOWNLOAD
Author : John Van der Hoek
language : en
Publisher: Cambridge University Press
Release Date : 2018

Introduction To Hidden Semi Markov Models written by John Van der Hoek and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Hidden Markov models categories.

Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction to the subject by first developing the theory of Markov processes in an elementary discrete time, finite state framework suitable for senior undergraduates and graduates. The authors then introduce semi-Markov chains and hidden semi-Markov chains, before developing related estimation and filtering results. Genomics applications are modelled by discrete observations of these hidden semi-Markov chains. This book contains new results and previously unpublished material not available elsewhere. The approach is rigorous and focused on applications

Hardware Acceleration Of Hidden Markov Models For Bioinformatics Applications

DOWNLOAD
Author : Shakha Gupta
language : en
Publisher:
Release Date : 2004

Hardware Acceleration Of Hidden Markov Models For Bioinformatics Applications written by Shakha Gupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Amino acid sequence categories.

Protein Homology Detection Through Alignment Of Markov Random Fields

DOWNLOAD
Author : Jinbo Xu
language : en
Publisher: Springer
Release Date : 2015-01-22

Protein Homology Detection Through Alignment Of Markov Random Fields written by Jinbo Xu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-22 with Computers categories.

This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) based methods, and then describes a novel Markov Random Fields (MRF) based method developed by the authors. MRF-based methods are much more sensitive than HMM- and PSSM-based methods for remote homolog detection and fold recognition, as MRFs can model long-range residue-residue interaction. The text also describes the installation, usage and result interpretation of programs implementing the MRF-based method.