Foundations of Mathematical Genetics

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Publisher : Cambridge University Press
ISBN 13 : 9780521775441
Total Pages : 138 pages
Book Rating : 4.7/5 (754 download)

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Book Synopsis Foundations of Mathematical Genetics by : Anthony William Fairbank Edwards

Download or read book Foundations of Mathematical Genetics written by Anthony William Fairbank Edwards and published by Cambridge University Press. This book was released on 2000-01-13 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: A definitive account of the origins of modern mathematical population genetics, first published in 2000.

Foundations of Mathematical Genetics

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Author :
Publisher : Cambridge University Press
ISBN 13 : 9780521213257
Total Pages : 127 pages
Book Rating : 4.2/5 (132 download)

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Book Synopsis Foundations of Mathematical Genetics by : Anthony William Fairbank Edwards

Download or read book Foundations of Mathematical Genetics written by Anthony William Fairbank Edwards and published by Cambridge University Press. This book was released on 1977-02-03 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical and Statistical Methods for Genetic Analysis

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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

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 2012-12-06 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written to equip students in the mathematical siences to understand and model the epidemiological and experimental data encountered in genetics research. This second edition expands the original edition by over 100 pages and includes new material. Sprinkled throughout the chapters are many new problems.

Mathematical Structures in Population Genetics

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Publisher : Springer
ISBN 13 :
Total Pages : 400 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Mathematical Structures in Population Genetics by : I︠U︡riĭ Ilʹich Li︠u︡bich

Download or read book Mathematical Structures in Population Genetics written by I︠U︡riĭ Ilʹich Li︠u︡bich and published by Springer. This book was released on 1992-03-16 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Very Good,No Highlights or Markup,all pages are intact.

Mathematical Population Genetics 1

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Publisher : Springer Science & Business Media
ISBN 13 : 9780387201917
Total Pages : 448 pages
Book Rating : 4.2/5 (19 download)

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Book Synopsis Mathematical Population Genetics 1 by : Warren J. Ewens

Download or read book Mathematical Population Genetics 1 written by Warren J. Ewens and published by Springer Science & Business Media. This book was released on 2004-01-09 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first of a planned two-volume work discussing the mathematical aspects of population genetics with an emphasis on evolutionary theory. This volume draws heavily from the author’s 1979 classic, but it has been revised and expanded to include recent topics which follow naturally from the treatment in the earlier edition, such as the theory of molecular population genetics.

Mathematical Genetics

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Publisher :
ISBN 13 : 9781634632546
Total Pages : 0 pages
Book Rating : 4.6/5 (325 download)

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Book Synopsis Mathematical Genetics by : Andreĭ Nikolaevich Volobuev

Download or read book Mathematical Genetics written by Andreĭ Nikolaevich Volobuev and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, mathematical aspects of a population genetics are considered. On the basis of the Hardy - Weinberg law, the standard approach to population genetics problems is stated. Along with the standard approach, the necessity of separate research of family tree genetics and population genetics, which represent set of the family trees, is shown. Family trees are investigated by methods of discrete mathematics in a discrete time scale which is defined by alternation of generations. It is necessary to transit to a continuous time scale, continuous functions, therefore the Hardy-Weinberg law is written down in the form of the differential equation of the second order. Transition to continuous functions has allowed us to receive new and certainly not trivial results in population genetics. In particular, a new approach to problems of a mutations occurrence under radiation is discussed, of a new growths occurrence, and migrations of populations under various conditions to reveal nonlinear character of inbreeding and natural selection. The book can be useful to geneticists, students-biologists, post-graduate students and everyone who is interested in problems of population genetics.

Population Genetics and Microevolutionary Theory

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Publisher : John Wiley & Sons
ISBN 13 : 0470047216
Total Pages : 720 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Population Genetics and Microevolutionary Theory by : Alan R. Templeton

Download or read book Population Genetics and Microevolutionary Theory written by Alan R. Templeton and published by John Wiley & Sons. This book was released on 2006-09-29 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advances made possible by the development of molecular techniques have in recent years revolutionized quantitative genetics and its relevance for population genetics. Population Genetics and Microevolutionary Theory takes a modern approach to population genetics, incorporating modern molecular biology, species-level evolutionary biology, and a thorough acknowledgment of quantitative genetics as the theoretical basis for population genetics. Logically organized into three main sections on population structure and history, genotype-phenotype interactions, and selection/adaptation Extensive use of real examples to illustrate concepts Written in a clear and accessible manner and devoid of complex mathematical equations Includes the author's introduction to background material as well as a conclusion for a handy overview of the field and its modern applications Each chapter ends with a set of review questions and answers Offers helpful general references and Internet links

Essential Mathematical Biology

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Publisher : Springer Science & Business Media
ISBN 13 : 1447100492
Total Pages : 335 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Essential Mathematical Biology by : Nicholas F. Britton

Download or read book Essential Mathematical Biology written by Nicholas F. Britton and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This self-contained introduction to the fast-growing field of Mathematical Biology is written for students with a mathematical background. It sets the subject in a historical context and guides the reader towards questions of current research interest. A broad range of topics is covered including: Population dynamics, Infectious diseases, Population genetics and evolution, Dispersal, Molecular and cellular biology, Pattern formation, and Cancer modelling. Particular attention is paid to situations where the simple assumptions of homogenity made in early models break down and the process of mathematical modelling is seen in action.

Human Population Genetics

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Publisher : John Wiley & Sons
ISBN 13 : 0470464674
Total Pages : 326 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Human Population Genetics by : John H. Relethford

Download or read book Human Population Genetics written by John H. Relethford and published by John Wiley & Sons. This book was released on 2012-03-27 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introductory guide to human population genetics and microevolutionary theory Providing an introduction to mathematical population genetics, Human Population Genetics gives basic background on the mechanisms of human microevolution. This text combines mathematics, biology, and anthropology and is best suited for advanced undergraduate and graduate study. Thorough and accessible, Human Population Genetics presents concepts and methods of population genetics specific to human population study, utilizing uncomplicated mathematics like high school algebra and basic concepts of probability to explain theories central to the field. By describing changes in the frequency of genetic variants from one generation to the next, this book hones in on the mathematical basis of evolutionary theory. Human Population Genetics includes: Helpful formulae for learning ease Graphs and analogies that make basic points and relate the evolutionary process to mathematical ideas Glossary terms marked in boldface within the book the first time they appear In-text citations that act as reference points for further research Exemplary case studies Topics such as Hardy-Weinberg equilibrium, inbreeding, mutation, genetic drift, natural selection, and gene flow Human Population Genetics solidifies knowledge learned in introductory biological anthropology or biology courses and makes it applicable to genetic study. NOTE: errata for the first edition can be found at the author's website: http://employees.oneonta.edu/relethjh/HPG/errata.pdf

Evolutionary Theory

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Publisher : Sinauer Associates Incorporated
ISBN 13 : 9780878937028
Total Pages : 370 pages
Book Rating : 4.9/5 (37 download)

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Book Synopsis Evolutionary Theory by : Sean H. Rice

Download or read book Evolutionary Theory written by Sean H. Rice and published by Sinauer Associates Incorporated. This book was released on 2004 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Theory is for graduate students, researchers, and advanced undergraduates who want an understanding of the mathematical and biological reasoning that underlies evolutionary theory. The book covers all of the major theoretical approaches used to study the mechanics of evolution, including classical one- and two-locus models, diffusion theory, coalescent theory, quantitative genetics, and game theory. There are also chapters on theoretical approaches to the evolution of development and on multilevel selection theory. Each subject is illustrated by focusing on those results that have the greatest power to influence the way that we think about how evolution works. These major results are developed in detail, with many accompanying illustrations, showing exactly how they are derived and how the mathematics relates to the biological insights that they yield. In this way, the reader learns something of the actual machinery of different branches of theory while gaining a deeper understanding of the evolutionary process. Roughly half of the book focuses on gene-based models, the other half being concerned with general phenotype-based theory. Throughout, emphasis is placed on the fundamental relationships between the different branches of theory, illustrating how all of these branches are united by a few basic, universal, principles. The only mathematical background assumed is basic calculus. More advanced mathematical methods are explained, with the help of an extensive appendix, when they are needed.

The Fundamentals of Modern Statistical Genetics

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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.

Statistics in Human Genetics and Molecular Biology

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Publisher : CRC Press
ISBN 13 : 1420072641
Total Pages : 284 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Statistics in Human Genetics and Molecular Biology by : Cavan Reilly

Download or read book Statistics in Human Genetics and Molecular Biology written by Cavan Reilly and published by CRC Press. This book was released on 2009-06-19 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments.

Foundations of Mathematical Biology

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Publisher : Academic Press
ISBN 13 : 1483272133
Total Pages : 316 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Foundations of Mathematical Biology by : Robert J. Rosen

Download or read book Foundations of Mathematical Biology written by Robert J. Rosen and published by Academic Press. This book was released on 2013-10-22 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Mathematical Biology, Volume 1, Subcellular Systems, provides an introduction the place of mathematical biology in relation to the other biological, physical, and organizational sciences. It discusses the use of mathematical tools and techniques to solve biological problems. The book contains four chapters and begins with a discussion of the nature of hierarchical control in living matter. This is followed by a chapter on chemical kinetics and enzyme kinetics, covering the physicomathematical principles, models, and approximations underlying transition-state theory and the unimolecular reaction. Subsequent chapters deal with quantum genetics and membrane excitability.

Mathematical Foundations of Quantum Information and Computation and Its Applications to Nano- and Bio-systems

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Publisher : Springer Science & Business Media
ISBN 13 : 9400701713
Total Pages : 768 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Mathematical Foundations of Quantum Information and Computation and Its Applications to Nano- and Bio-systems by : Masanori Ohya

Download or read book Mathematical Foundations of Quantum Information and Computation and Its Applications to Nano- and Bio-systems written by Masanori Ohya and published by Springer Science & Business Media. This book was released on 2011-01-15 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a mathematical foundation to the theory of quantum information and computation, with applications to various open systems including nano and bio systems. It includes introductory material on algorithm, functional analysis, probability theory, information theory, quantum mechanics and quantum field theory. Apart from standard material on quantum information like quantum algorithm and teleportation, the authors discuss findings on the theory of entropy in C*-dynamical systems, space-time dependence of quantum entangled states, entangling operators, adaptive dynamics, relativistic quantum information, and a new paradigm for quantum computation beyond the usual quantum Turing machine. Also, some important applications of information theory to genetics and life sciences, as well as recent experimental and theoretical discoveries in quantum photosynthesis are described.

Foundations of Genetic Algorithms 1993 (FOGA 2)

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Publisher : Morgan Kaufmann
ISBN 13 : 0080948324
Total Pages : 322 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Foundations of Genetic Algorithms 1993 (FOGA 2) by : FOGA

Download or read book Foundations of Genetic Algorithms 1993 (FOGA 2) written by FOGA and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Genetic Algorithms, Volume 2 provides insight of theoretical work in genetic algorithms. This book provides a general understanding of a canonical genetic algorithm. Organized into six parts encompassing 19 chapters, this volume begins with an overview of genetic algorithms in the broader adaptive systems context. This text then reviews some results in mathematical genetics that use probability distributions to characterize the effects of recombination on multiple loci in the absence of selection. Other chapters examine the static building block hypothesis (SBBH), which is the underlying assumption used to define deception. This book discusses as well the effect of noise on the quality of convergence of genetic algorithms. The final chapter deals with the primary goal in machine learning and artificial intelligence, which is to dynamically and automatically decompose problems into simpler problems to facilitate their solution. This book is a valuable resource for theorists and genetic algorithm researchers.

Introduction to Population Genetics

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Publisher : Pearson
ISBN 13 :
Total Pages : 680 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Introduction to Population Genetics by : Richard Halliburton

Download or read book Introduction to Population Genetics written by Richard Halliburton and published by Pearson. This book was released on 2004 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Making the theory of population genetics relevant to readers, this book explains the related mathematics with a logical organization. It presents the quantitative aspects of population genetics, and employs examples of human genetics, medical evolution, human evolution, and endangered species. For an introduction to, and understanding of, population genetics.

Heterogeneity in Statistical Genetics

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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.