Mathematical And Statistical Methods For Genetic Analysis

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Mathematical and Statistical Methods for Genetic Analysis

Author : Kenneth Lange
Publisher : Springer Science & Business Media
ISBN 13 : 1475727399
Total Pages : 277 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Mathematical and Statistical Methods for Genetic Analysis by : Kenneth Lange

Download or read book Mathematical and Statistical Methods for Genetic Analysis written by Kenneth Lange and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geneticists now stand on the threshold of sequencing the genome in its entirety. The unprecedented insights into human disease and evolution offered by mapping and sequencing are transforming medicine and agriculture. This revolution depends vitally on the contributions made by applied mathematicians, statisticians, and computer scientists. Kenneth Lange has written a book to enable graduate students in the mathematical sciences to understand and model the epidemiological and experimental data encountered in genetics research. Mathematical, statistical, and computational principles relevant to this task are developed hand-in-hand with applications to gene mapping, risk prediction, and the testing of epidemiological hypotheses. The book covers many topics previously only accessible in journal articles, such as pedigree analysis algorithms, Markov chain, Monte Carlo methods, reconstruction of evolutionary trees, radiation hybrid mapping, and models of recombination. The whole is backed by numerous exercise sets.

Mathematical And Statistical Methods For Genetic Analysis, 2E

Author : Lange
Publisher :
ISBN 13 : 9788181281135
Total Pages : 386 pages
Book Rating : 4.2/5 (811 download)

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Book Synopsis Mathematical And Statistical Methods For Genetic Analysis, 2E by : Lange

Download or read book Mathematical And Statistical Methods For Genetic Analysis, 2E written by Lange and published by . This book was released on 2004-01-01 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical and Statistical Methods for Genetic Analysis

Author : Kenneth Lange
Publisher : Springer Science & Business Media
ISBN 13 : 0387217509
Total Pages : 376 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Mathematical and Statistical Methods for Genetic Analysis by : Kenneth Lange

The Fundamentals of Modern Statistical Genetics

Author : Nan M. Laird
Publisher : Springer Science & Business Media
ISBN 13 : 1441973389
Total Pages : 226 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis The Fundamentals of Modern Statistical Genetics by : Nan M. Laird

Download or read book The Fundamentals of Modern Statistical Genetics written by Nan M. Laird and published by Springer Science & Business Media. This book was released on 2010-12-13 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.

Introduction to Statistical Methods in Modern Genetics

Author : M.C. Yang
Publisher : CRC Press
ISBN 13 : 9789056991340
Total Pages : 264 pages
Book Rating : 4.9/5 (913 download)

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Book Synopsis Introduction to Statistical Methods in Modern Genetics by : M.C. Yang

Download or read book Introduction to Statistical Methods in Modern Genetics written by M.C. Yang and published by CRC Press. This book was released on 2000-02-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application. Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn: How a gene is found How scientists have separated the genetic and environmental aspects of a person's intelligence How genetics are used in agriculture to improve crops and domestic animals What a DNA fingerprint is and why there are controversies about it Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entrée into the rapidly expanding world of genetic data analysis.

Statistical Genomics

Author : Ben Hui Liu
Publisher : CRC Press
ISBN 13 : 1351414534
Total Pages : 642 pages
Book Rating : 4.3/5 (514 download)

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Book Synopsis Statistical Genomics by : Ben Hui Liu

Download or read book Statistical Genomics written by Ben Hui Liu and published by CRC Press. This book was released on 2017-11-22 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomics, the mapping of the entire genetic complement of an organism, is the new frontier in biology. This handbook on the statistical issues of genomics covers current methods and the tried-and-true classical approaches.

Heterogeneity in Statistical Genetics

Author : Derek Gordon
Publisher : Springer Nature
ISBN 13 : 3030611213
Total Pages : 366 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Heterogeneity in Statistical Genetics by : Derek Gordon

Download or read book Heterogeneity in Statistical Genetics written by Derek Gordon and published by Springer Nature. This book was released on 2020-12-16 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon. In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing statistical power and sample size calculations for tests of genetic association. We anticipate that this book will be useful to researchers who want to estimate heterogeneity in their data, develop or apply genetic association statistics where heterogeneity exists, and accurately evaluate statistical power and sample size for genetic association through the application of robust experimental design.

Statistics in Genetics and in the Environmental Sciences

Author : Luisa T. Fernholz
Publisher : Birkhäuser
ISBN 13 : 3034883269
Total Pages : 183 pages
Book Rating : 4.0/5 (348 download)

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Book Synopsis Statistics in Genetics and in the Environmental Sciences by : Luisa T. Fernholz

Download or read book Statistics in Genetics and in the Environmental Sciences written by Luisa T. Fernholz and published by Birkhäuser. This book was released on 2012-12-06 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is strongly tied to applications in different scientific disciplines, and the most challenging statistical problems arise from problems in the sciences. In fact, the most innovative statistical research flows from the needs of applications in diverse settings. This volume is a testimony to the crucial role that statistics plays in scientific disciplines such as genetics and environmental sciences, among others. The articles in this volume range from human and agricultural genetic DNA research to carcinogens and chemical concentrations in the environment and to space debris and atmospheric chemistry. Also included are some articles on statistical methods which are sufficiently general and flexible to be applied to many practical situations. The papers were refereed by a panel of experts and the editors of the volume. The contributions are based on the talks presented at the Workshop on Statistics and the Sciences, held at the Centro Stefano Franscini in Ascona, Switzerland, during the week of May 23 to 28, 1999. The meeting was jointly organized by the Swiss Federal Institutes of Technology in Lausanne and Zurich, with the financial support of the Minerva Research Foundation. As the presentations at the workshop helped the participants recognize the po tential role that statistics can play in the sciences, we hope that this volume will help the reader to focus on the central role of statistics in the specific areas presented here and to extrapolate the results to further applications.

Statistical Genetics

Author : Benjamin Neale
Publisher : Garland Science
ISBN 13 : 1134129335
Total Pages : 608 pages
Book Rating : 4.1/5 (341 download)

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Book Synopsis Statistical Genetics by : Benjamin Neale

Download or read book Statistical Genetics written by Benjamin Neale and published by Garland Science. This book was released on 2007-11-30 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Genetics is an advanced textbook focusing on conducting genome-wide linkage and association analysis in order to identify the genes responsible for complex behaviors and diseases. Starting with an introductory section on statistics and quantitative genetics, it covers both established and new methodologies, providing the genetic and statistical theory on which they are based. Each chapter is written by leading researchers, who give the reader the benefit of their experience with worked examples, study design, and sources of error. The text can be used in conjunction with an associated website (www.genemapping.org) that provides supplementary material and links to downloadable software.

Handbook of Statistical Genetics

Author : David J. Balding
Publisher : John Wiley & Sons
ISBN 13 : 9780470997628
Total Pages : 1616 pages
Book Rating : 4.9/5 (976 download)

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Book Synopsis Handbook of Statistical Genetics by : David J. Balding

Download or read book Handbook of Statistical Genetics written by David J. Balding and published by John Wiley & Sons. This book was released on 2008-06-10 with total page 1616 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Other chapters new to the 3rd edition include Human Population Genetics, Genome-wide Association Studies, Family-based Association Studies, Pharmacogenetics, Epigenetics, Ethic and Insurance. As with the second Edition, the Handbook includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between the chapters, tying the different areas together. With heavy use of up-to-date examples, real-life case studies and references to web-based resources, this continues to be must-have reference in a vital area of research. Edited by the leading international authorities in the field. David Balding - Department of Epidemiology & Public Health, Imperial College An advisor for our Probability & Statistics series, Professor Balding is also a previous Wiley author, having written Weight-of-Evidence for Forensic DNA Profiles, as well as having edited the two previous editions of HSG. With over 20 years teaching experience, he’s also had dozens of articles published in numerous international journals. Martin Bishop – Head of the Bioinformatics Division at the HGMP Resource Centre As well as the first two editions of HSG, Dr Bishop has edited a number of introductory books on the application of informatics to molecular biology and genetics. He is the Associate Editor of the journal Bioinformatics and Managing Editor of Briefings in Bioinformatics. Chris Cannings – Division of Genomic Medicine, University of Sheffield With over 40 years teaching in the area, Professor Cannings has published over 100 papers and is on the editorial board of many related journals. Co-editor of the two previous editions of HSG, he also authored a book on this topic.

Statistical Analysis of Gene Expression Microarray Data

Author : Terry Speed
Publisher : CRC Press
ISBN 13 : 0203011236
Total Pages : 237 pages
Book Rating : 4.2/5 (3 download)

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Book Synopsis Statistical Analysis of Gene Expression Microarray Data by : Terry Speed

Download or read book Statistical Analysis of Gene Expression Microarray Data written by Terry Speed and published by CRC Press. This book was released on 2003-03-26 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies

Handbook of Statistical Genomics

Author : David J. Balding
Publisher : John Wiley & Sons
ISBN 13 : 1119429145
Total Pages : 1223 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Handbook of Statistical Genomics by : David J. Balding

Download or read book Handbook of Statistical Genomics written by David J. Balding and published by John Wiley & Sons. This book was released on 2019-09-10 with total page 1223 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.

A Statistical Approach to Genetic Epidemiology

Author : Andreas Ziegler
Publisher : John Wiley & Sons
ISBN 13 : 3527633669
Total Pages : 522 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis A Statistical Approach to Genetic Epidemiology by : Andreas Ziegler

Download or read book A Statistical Approach to Genetic Epidemiology written by Andreas Ziegler and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Statistical Approach to Genetic Epidemiology After studying statistics and mathematics at the University of Munich and obtaining his doctoral degree from the University of Dortmund, Andreas Ziegler received the Johann-Peter-Süssmilch-Medal of the German Association for Medical Informatics, Biometry and Epidemiology for his post-doctoral work on “Model Free Linkage Analysis of Quantitative Traits” in 1999. In 2004, he was one of the recipients of the Fritz-Linder-Forum-Award from the German Association for Surgery.

Statistical Methods in Molecular Evolution

Author : Rasmus Nielsen
Publisher : Springer Science & Business Media
ISBN 13 : 0387277331
Total Pages : 503 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Statistical Methods in Molecular Evolution by : Rasmus Nielsen

Download or read book Statistical Methods in Molecular Evolution written by Rasmus Nielsen and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related species, molecular evolution has become one of the most active and fastest growing fields of study in genomics and bioinformatics. Most studies in molecular evolution rely heavily on statistical procedures based on stochastic process modelling and advanced computational methods including high-dimensional numerical optimization and Markov Chain Monte Carlo. This book provides an overview of the statistical theory and methods used in studies of molecular evolution. It includes an introductory section suitable for readers that are new to the field, a section discussing practical methods for data analysis, and more specialized sections discussing specific models and addressing statistical issues relating to estimation and model choice. The chapters are written by the leaders of field and they will take the reader from basic introductory material to the state-of-the-art statistical methods. This book is suitable for statisticians seeking to learn more about applications in molecular evolution and molecular evolutionary biologists with an interest in learning more about the theory behind the statistical methods applied in the field. The chapters of the book assume no advanced mathematical skills beyond basic calculus, although familiarity with basic probability theory will help the reader. Most relevant statistical concepts are introduced in the book in the context of their application in molecular evolution, and the book should be accessible for most biology graduate students with an interest in quantitative methods and theory. Rasmus Nielsen received his Ph.D. form the University of California at Berkeley in 1998 and after a postdoc at Harvard University, he assumed a faculty position in Statistical Genomics at Cornell University. He is currently an Ole Rømer Fellow at the University of Copenhagen and holds a Sloan Research Fellowship. His is an associate editor of the Journal of Molecular Evolution and has published more than fifty original papers in peer-reviewed journals on the topic of this book. From the reviews: "...Overall this is a very useful book in an area of increasing importance." Journal of the Royal Statistical Society "I find Statistical Methods in Molecular Evolution very interesting and useful. It delves into problems that were considered very difficult just several years ago...the book is likely to stimulate the interest of statisticians that are unaware of this exciting field of applications. It is my hope that it will also help the 'wet lab' molecular evolutionist to better understand mathematical and statistical methods." Marek Kimmel for the Journal of the American Statistical Association, September 2006 "Who should read this book? We suggest that anyone who deals with molecular data (who does not?) and anyone who asks evolutionary questions (who should not?) ought to consult the relevant chapters in this book." Dan Graur and Dror Berel for Biometrics, September 2006 "Coalescence theory facilitates the merger of population genetics theory with phylogenetic approaches, but still, there are mostly two camps: phylogeneticists and population geneticists. Only a few people are moving freely between them. Rasmus Nielsen is certainly one of these researchers, and his work so far has merged many population genetic and phylogenetic aspects of biological research under the umbrella of molecular evolution. Although Nielsen did not contribute a chapter to his book, his work permeates all its chapters. This book gives an overview of his interests and current achievements in molecular evolution. In short, this book should be on your bookshelf." Peter Beerli for Evolution, 60(2), 2006

Statistical Methods for QTL Mapping

Author : Zehua Chen
Publisher : CRC Press
ISBN 13 : 143986831X
Total Pages : 308 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Statistical Methods for QTL Mapping by : Zehua Chen

Download or read book Statistical Methods for QTL Mapping written by Zehua Chen and published by CRC Press. This book was released on 2016-04-19 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics an

Molecular Evolution

Author : Ziheng Yang
Publisher : Oxford University Press
ISBN 13 : 0199602603
Total Pages : 509 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis Molecular Evolution by : Ziheng Yang

Download or read book Molecular Evolution written by Ziheng Yang and published by Oxford University Press. This book was released on 2014 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents and explains modern statistical methods and computational algorithms for the comparative analysis of genetic sequence data in the fields of molecular evolution, molecular phylogenetics, statistical phylogeography, and comparative genomics. The book offers numerous examples of real data analysis and numerical calculations to illustrate the theory, in addition to the working problems at the end of each chapter. The coverage of maximum likelihood and Bayesian methods are in particular up-to-date, comprehensive, and authoritative.

Basic Biostatistics for Geneticists and Epidemiologists

Author : Robert C. Elston
Publisher : John Wiley & Sons
ISBN 13 : 0470024917
Total Pages : 384 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Basic Biostatistics for Geneticists and Epidemiologists by : Robert C. Elston

Download or read book Basic Biostatistics for Geneticists and Epidemiologists written by Robert C. Elston and published by John Wiley & Sons. This book was released on 2008-11-20 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Anyone who attempts to read genetics or epidemiology research literature needs to understand the essentials of biostatistics. This book, a revised new edition of the successful Essentials of Biostatistics has been written to provide such an understanding to those who have little or no statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics, the main focus of this book is to explain basic concepts needed to understand statistical procedures. This Book: Surveys basic statistical methods used in the genetics and epidemiology literature, including maximum likelihood and least squares. Introduces methods, such as permutation testing and bootstrapping, that are becoming more widely used in both genetic and epidemiological research. Is illustrated throughout with simple examples to clarify the statistical methodology. Explains Bayes’ theorem pictorially. Features exercises, with answers to alternate questions, enabling use as a course text. Written at an elementary mathematical level so that readers with high school mathematics will find the content accessible. Graduate students studying genetic epidemiology, researchers and practitioners from genetics, epidemiology, biology, medical research and statistics will find this an invaluable introduction to statistics.