Related books on 'sequence-analysis'Return to life science book list
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Average Case Analysis of Algorithms on Sequences (Wiley Series in Discrete Mathematics and Optimization)
by: Wojciech Szpankowski
publisher: Wiley-Interscience, published: 2001-04-16
sales rank: 3038234
A timely book on a topic that has witnessed a surge of interest over the last decade, owing in part to several novel applications, most notably in data compression and computational molecular biology. It describes methods employed in average case analysis of algorithms, combining both analytical and probabilistic tools in a single volume.
* Tools are illustrated through problems on words with applications to molecular biology, data compression, security, and pattern matching.
* Includes chapters on algorithms and data structures on words, probabilistic and analytical models, inclusion-exclusion principles, first and second moment methods, subadditive ergodic theorem and large deviations, elements of information theory, generating functions, complex asymptotic methods, Mellin transform and its applications, and analytic poissonization and depoissonization.
* Written by an established researcher with a strong international reputation in the field.
by: Jonathan Pevsner
publisher: Wiley-Blackwell, published: 2009-05-04
sales rank: 301632
The bestselling introduction to bioinformatics and functional genomics—now in an updated edition
Widely received in its previous edition, Bioinformatics and Functional Genomics offers the most broad-based introduction to this explosive new discipline. Now in a thoroughly updated and expanded Second Edition, it continues to be the go-to source for students and professionals involved in biomedical research.
This edition provides up-to-the-minute coverage of the fields of bioinformatics and genomics. Features new to this edition include:
The book is complemented by lavish illustrations and more than 500 figures and tables—fifty of which are entirely new to this edition. Each chapter includes a Problem Set, Pitfalls, Boxes explaining key techniques and mathematics/statistics principles, Summary, Recommended Reading, and a list of freely available software. Readers may visit a related Web page for supplemental information at www.wiley.com/go/pevsnerbioinformatics.
Bioinformatics and Functional Genomics, Second Edition serves as an excellent single-source textbook for advanced undergraduate and beginning graduate-level courses in the biological sciences and computer sciences. It is also an indispensable resource for biologists in a broad variety of disciplines who use the tools of bioinformatics and genomics to study particular research problems; bioinformaticists and computer scientists who develop computer algorithms and databases; and medical researchers and clinicians who want to understand the genomic basis of viral, bacterial, parasitic, or other diseases.
Praise for the first edition:
"...ideal both for biologists who want to master the application of bioinformatics to real-world problems and for computer scientists who need to understand the biological questions that motivate algorithms." Quarterly Review of Biology
"… an excellent textbook for graduate students and upper level undergraduate students." Annals of Biomedical Engineering
"…highly recommended for academic and medical libraries, and for researchers as an introduction and reference…" E-Streams
by: Donald M. Atwater
publisher: Hillside-CYW Publishers, published: 2013-08-01
sales rank: 510522
There are so many macroeconomic terms and moving parts in an economy that students and managers can easily get lost. An advantage of this book is that it simplifies macroeconomic analysis. Each of the preceding books in this series explained macroeconomic analysis for a different key measure such as GDP, inflation, interest rates, exports and exchange rates. The goal of this book is to examine where all five major macroeconomic measures are likely to go as a group and what they mean to business performance.
A hands-on macro tool called the consolidated-U.S. simulator is provided to analyze change from more than 15 different variables. Fiscal policy, monetary policy, currency exchange-rate policy, and export conditions for -both the EU and U.S. can be put in play at the same time. The combined effects of these movements on key macroeconomic outcomes provide the kinds of macroeconomic information over time that practitioners need to use in their important business analyses.
Business analyses, such as return on investment for foreign direct investment, and meeting or exceeding domestic and international sales targets, are only as good as the macroeconomic analyses they are based on. The default assumptions about inflation, GDP growth, exports and interest rates are that change will be constant or that no change will occur. Yet the analyses presented throughout this book series shows that macroeconomic systems are rarely unchanged and move cyclically.
The standard for excellence in macroeconomic analysis in the future is to engage businesses early on. The expected value of early analysis is that it has the potential to disrupt the development of economic crises. Imagine a world in which economic crises failed to materialize. In such an environment bubbles form but did not burst and the benefits of growth may be shared by more than just the wealthy. Join us in this cause.
About the Author
Dr. Atwater has been teaching macroeconomics at the Graziadio School of Business and Management at Pepperdine University in Malibu, California since 1995. He has also given numerous macroeconomic seminars to corporations, faculty and practitioners including Nestlé USA, the Billion Dollar Club, the Academy of Economics and Finance, the National Association of Manufacturers, and the World Demographics Conference on Ageing. Dr. Atwater won the 2010 George Award for Outstanding Faculty Member. The business experiences he brings to the classroom include serving as chief executive for a Southern California technology company, the chief financial officer of an international, value-added software company, a principal in the human resources and compensation practice at William H. Mercer, and a director and cofounder of several start-up companies.
He has created decision-support technologies and implemented them in a number of Fortune 100 companies, including AT&T, Intel, Dell Computer, Apple Computer, BHP Minerals, IBM, Bank of America, Nestlé, and Nestlé USA.
Dr. Atwater earned his AB degree in mathematics, his MA degree in mathematical economics, and his C Phil and PhD degrees in economics from the University of California, Los Angeles.
by: Stephen Winters-Hilt
publisher: Lulu.com, published: 2011-05-02
sales rank: 3501778
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.
by: Abdelmonem Afifi
publisher: Chapman and Hall/CRC, published: 2011-07-05
sales rank: 598309
This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition shows readers how to perform multivariate statistical analyses and understand the results. For each of the techniques presented in this edition, the authors use the most recent software versions available and discuss the most modern ways of performing the analysis.
New to the Fifth Edition
The first part of the book provides examples of studies requiring multivariate analysis techniques; discusses characterizing data for analysis, computer programs, data entry, data management, data clean-up, missing values, and transformations; and presents a rough guide to assist in choosing the appropriate multivariate analysis. The second part examines outliers and diagnostics in simple linear regression and looks at how multiple linear regression is employed in practice and as a foundation for understanding a variety of concepts. The final part deals with the core of multivariate analysis, covering canonical correlation, discriminant, logistic regression, survival, principal components, factor, cluster, and log-linear analyses.
While the text focuses on the use of R, S-PLUS, SAS, SPSS, Stata, and STATISTICA, other software packages can also be used since the output of most standard statistical programs is explained. Data sets and code are available for download from the book’s web page and CRC Press Online.
by: S. RAMAR
publisher: PHI Learning Pvt. Ltd., published: 2013-06-17
sales rank: 305658
This book gives the basic knowledge required for power system planning, operation, and control. The contents of the book are presented in simple, precise and systematic manner with lucid explanation so that the readers can easily understand the underlying principles.
This textbook would be useful for senior undergraduate students pursuing courses in Electrical and Electronics Engineering, and postgraduate students of power systems engineering as a reference.
by: Samantha Gwinn
publisher: BookSurge Publishing, published: 2009-04-17
sales rank: 76072
Handbook for police crime analysts and prospective crime analysts, outlining the major skills and knowledge sets necessary to be successful in the profession, from fundamental knowledge to advanced mathematical and computer skills.
publisher: Humana Press, published: 2008-06-16
sales rank: 3964502
In this book, leading researchers in the field of Bioinformatics provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Over 80 authors from around the globe contribute to the two volumes, including many leading experts in their respective subjects. They encompass topics from across the diverse field of bioinformatics through its broad scope, combining to provide an inter-disciplinary collaboration involving biologists, biochemists, physicists, mathematicians, statisticians and computer scientists.
by: Brian S. Thomson
publisher: CreateSpace Independent Publishing Platform, published: 2008-04-07
sales rank: 282066
This is the second edition of the text Elementary Real Analysis originally published by Prentice Hall (Pearson) in 2001. Chapter 1. Real Numbers Chapter 2. Sequences Chapter 3. Infinite sums Chapter 4. Sets of real numbers Chapter 5. Continuous functions Chapter 6. More on continuous functions and sets Chapter 7. Differentiation Chapter 8. The Integral Chapter 9. Sequences and series of functions Chapter 10. Power series Chapter 11. Euclidean Space R^n Chapter 12. Differentiation on R^n Chapter 13. Metric Spaces
by: Jeffrey M Wooldridge
publisher: The MIT Press, published: 2010-10-01
sales rank: 70793
The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis.Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.