Author: Publisher:
ISBN:
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Languages : en
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Book Description
MacHine-Learning Based Sequence Analysis, Bioinformatics and Nanopore Transduction Detection
Author: Stephen Winters-HiltPublisher: Lulu.com
ISBN: 1257645250
Category : Computers
Languages : en
Pages : 436
Book Description
This is intended to be a simple and accessible book on machine learning methods and their application in computational genomics and nanopore transduction detection. This book has arisen from eight years of teaching one-semester courses on various machine-learning, cheminformatics, and bioinformatics topics. The book begins with a description of ad hoc signal acquisition methods and how to orient on signal processing problems with the standard tools from information theory and signal analysis. A general stochastic sequential analysis (SSA) signal processing architecture is then described that implements Hidden Markov Model (HMM) methods. Methods are then shown for classification and clustering using generalized Support Vector Machines, for use with the SSA Protocol, or independent of that approach. Optimization metaheuristics are used for tuning over algorithmic parameters throughout. Hardware implementations and short code examples of the various methods are also described.
Sequence Learning
Author: Ron SunPublisher: Springer
ISBN: 354044565X
Category : Computers
Languages : en
Pages : 400
Book Description
Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.
Problems and Solutions in Biological Sequence Analysis
Author: Mark BorodovskyPublisher: Cambridge University Press
ISBN: 1139458124
Category : Science
Languages : en
Pages : 15
Book Description
This book is the first of its kind to provide a large collection of bioinformatics problems with accompanying solutions. Notably, the problem set includes all of the problems offered in Biological Sequence Analysis, by Durbin et al. (Cambridge, 1998), widely adopted as a required text for bioinformatics courses at leading universities worldwide. Although many of the problems included in Biological Sequence Analysis as exercises for its readers have been repeatedly used for homework and tests, no detailed solutions for the problems were available. Bioinformatics instructors had therefore frequently expressed a need for fully worked solutions and a larger set of problems for use on courses. This book provides just that: following the same structure as Biological Sequence Analysis and significantly extending the set of workable problems, it will facilitate a better understanding of the contents of the chapters in BSA and will help its readers develop problem-solving skills that are vitally important for conducting successful research in the growing field of bioinformatics. All of the material has been class-tested by the authors at Georgia Tech, where the first ever MSc degree program in Bioinformatics was held.
Social Sequence Analysis
Author: Benjamin CornwellPublisher: Cambridge University Press
ISBN: 1316368866
Category : Social Science
Languages : en
Pages : 339
Book Description
Social sequence analysis includes a diverse and rapidly growing body of methods that social scientists have developed to help study complex ordered social processes, including chains of transitions, trajectories and other ordered phenomena. Social sequence analysis is not limited by content or time scale and can be used in many different fields, including sociology, communication, information science and psychology. Social Sequence Analysis aims to bring together both foundational and recent theoretical and methodological work on social sequences from the last thirty years. A unique reference book for a new generation of social scientists, this book will aid demographers who study life-course trajectories and family histories, sociologists who study career paths or work/family schedules, communication scholars and micro-sociologists who study conversation, interaction structures and small-group dynamics, as well as social epidemiologists.
The Adams Spectral Sequence for Topological Modular Forms
Author: Robert R. BrunerPublisher: American Mathematical Soc.
ISBN: 1470456745
Category : Education
Languages : en
Pages : 690
Book Description
The connective topological modular forms spectrum, tmf, is in a sense initial among elliptic spectra, and as such is an important link between the homotopy groups of spheres and modular forms. A primary goal of this volume is to give a complete account, with full proofs, of the homotopy of tmf and several tmf-module spectra by means of the classical Adams spectral sequence, thus verifying, correcting, and extending existing approaches. In the process, folklore results are made precise and generalized. Anderson and Brown-Comenetz duality, and the corresponding dualities in homotopy groups, are carefully proved. The volume also includes an account of the homotopy groups of spheres through degree 44, with complete proofs, except that the Adams conjecture is used without proof. Also presented are modern stable proofs of classical results which are hard to extract from the literature. Tools used in this book include a multiplicative spectral sequence generalizing a construction of Davis and Mahowald, and computer software which computes the cohomology of modules over the Steenrod algebra and products therein. Techniques from commutative algebra are used to make the calculation precise and finite. The H∞ ring structure of the sphere and of tmf are used to determine many differentials and relations.
Sequence — Evolution — Function
Author: Eugene V. KooninPublisher: Springer Science & Business Media
ISBN: 1475737831
Category : Science
Languages : en
Pages : 482
Book Description
Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.
Atlas of Protein Sequence and Structure
Author: Evidence-Based Imaging
Author: L. Santiago MedinaPublisher: Springer Science & Business Media
ISBN: 1441977775
Category : Medical
Languages : en
Pages : 672
Book Description
Evidence-Based Imaging is a user-friendly guide to the evidence-based science and merit defining the appropriate use of medical imaging in both adult and pediatric patients. Chapters are divided into major areas of medical imaging and cover the most prevalent diseases in developed countries, including the four major causes of mortality and morbidity: injury, coronary artery disease, cancer, and cerebrovascular disease. This book gives the reader a clinically-relevant overview of evidence-based imaging, with topics including epidemiology, patient selection, imaging strategies, test performance, cost-effectiveness, radiation safety and applicability. Each chapter is framed around important and provocative clinical questions relevant to the daily physician’s practice. Key points and summarized answers are highlighted so the busy clinician can quickly understand the most important evidence-based imaging data. A wealth of illustrations and summary tables reinforces the key evidence. This revised, softcover edition adds ten new chapters to the material from the original, hardcover edition, covering radiation risk in medical imaging, the economic and regulatory impact of evidence-based imaging in the new healthcare reform environment in the United States, and new topics on common disorders. By offering a clear understanding of the science behind the evidence, Evidence-Based Imaging fills a void for radiologists, family practitioners, pediatricians, surgeons, residents, and others with an interest in medical imaging and a desire to implement an evidence-based approach to optimize quality in patient care.
Networking Communication and Data Knowledge Engineering
Author: Gregorio Martinez PerezPublisher: Springer
ISBN: 981104600X
Category : Technology & Engineering
Languages : en
Pages : 264
Book Description
Data science, data engineering and knowledge engineering requires networking and communication as a backbone and have wide scope of implementation in engineering sciences. Keeping this ideology in preference, this book includes the insights that reflect the advances in these fields from upcoming researchers and leading academicians across the globe. It contains high-quality peer-reviewed papers of ‘International Conference on Recent Advancement in Computer, Communication and Computational Sciences (ICRACCCS 2016)’, held at Janardan Rai Nagar Rajasthan Vidyapeeth University, Udaipur, India, during 25–26 November 2016. The volume covers variety of topics such as Advanced Communication Networks, Artificial Intelligence and Evolutionary Algorithms, Advanced Software Engineering and Cloud Computing, Image Processing and Computer Vision, and Security. The book will help the perspective readers from computer industry and academia to derive the advances of next generation communication and computational technology and shape them into real life applications.
Biological Sequence Analysis
Author: Richard DurbinPublisher: Cambridge University Press
ISBN: 113945739X
Category : Science
Languages : en
Pages : 372
Book Description
Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.