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Author : Anthony William Fairbank Edwards
Publisher : Cambridge University Press
Page : 138 pages
File Size : 32,79 MB
Release : 2000-01-13
Category : Science
ISBN : 9780521775441
A definitive account of the origins of modern mathematical population genetics, first published in 2000.
Author : Anthony William Fairbank Edwards
Publisher : Cambridge University Press
Page : 127 pages
File Size : 46,1 MB
Release : 1977-02-03
Category : Science
ISBN : 9780521213257
Author : Warren J. Ewens
Publisher : Springer Science & Business Media
Page : 435 pages
File Size : 50,32 MB
Release : 2012-10-01
Category : Science
ISBN : 038721822X
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.
Author : A. W. F. Edwards
Publisher :
Page : 119 pages
File Size : 12,77 MB
Release : 1977
Category :
ISBN :
The genetic model; Two alleles at a single locus; Two alleles using homogeneous coordinates; Many alleles at a single locus; The special case of three alleles; An X-linked locus; Miscellaneous single-locus models.
Author : I︠U︡riĭ Ilʹich Li︠u︡bich
Publisher : Springer
Page : 400 pages
File Size : 26,68 MB
Release : 1992-03-16
Category : Mathematics
ISBN :
Very Good,No Highlights or Markup,all pages are intact.
Author : N. H. Bingham
Publisher : Cambridge University Press
Page : 547 pages
File Size : 33,35 MB
Release : 2010-07-15
Category : Mathematics
ISBN : 1139487922
No leading university department of mathematics or statistics, or library, can afford to be without this unique text. Leading authorities give a unique insight into a wide range of currently topical problems, from the mathematics of road networks to the genomics of cancer.
Author : Daniel M. Weinreich
Publisher : MIT Press
Page : 255 pages
File Size : 13,53 MB
Release : 2023-08-29
Category : Science
ISBN : 0262372576
An accessible but rigorous treatment of the theoretical foundations of population genetics. Population genetics—the branch of evolutionary biology concerned with understanding how and why populations’ genetic compositions change over time—rests on a well-developed theoretical foundation that draws on genetics, mathematics, and computer science. This textbook provides an approachable but rigorous treatment for advanced undergraduate and graduate students interested in building a quantitative understanding of the genetics of evolution. Existing texts either assume very mathematically advanced readers, or avoid much of the underlying theory, instead focusing on current methods of data analysis. In contrast, The Foundations of Population Genetics develops the theory from first principles. Requiring only confidence in algebra, this self-contained, student-friendly book illustrates the conceptual framework, terminology, and methods of mathematical modeling. It progressively introduces concepts from genetics as needed, while emphasizing biological implications throughout. As a result, readers come away with a deep understanding of the structure of population genetics without needing to master its mathematics. Connects theory with the most recent genetic data better than existing texts Features engaging real-world examples and extensive original figures Provides dozens of carefully scaffolded questions that deepen the reader's understanding of key concepts Ideal as a succinct reference for established scientists in biology, medicine, and computer science Instructor resources available
Author : Yuri M. Svirezhev
Publisher : Springer Science & Business Media
Page : 407 pages
File Size : 38,49 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 9400925891
One service mathematics has rendered the ~Et moi ..., si j'avait su comment en revenir, human race. It has put common sense back je riy serais point aile.' Jules Verne where it belongs, on the topmost shelf next to the dusty canister labelled 'discarded non The series is divergent; therefore we may be sense'. able to do something with it. Eric T. Bell O. Heaviside Mathematics is a tool for thought. A highly necessary tool in a world where both feedback and non linearities abound. Similarly, all kinds of parts of mathematics serve as tools for other parts and for other sciences. Applying a simple rewriting rule to the quote on the right above one finds such statements as: 'One service topology has rendered mathematical physics .. o'; 'One service logic has rendered com puter science .. o'; 'One service category theory has rendered mathematics .. .'. All arguably true. And all statements obtainable this way form part of the raison d'etre of this series.
Author : Nan M. Laird
Publisher : Springer Science & Business Media
Page : 226 pages
File Size : 20,49 MB
Release : 2010-12-13
Category : Medical
ISBN : 1441973389
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.
Author : N. H. Bingham
Publisher : Cambridge University Press
Page : 546 pages
File Size : 33,32 MB
Release : 2010-07-15
Category : Mathematics
ISBN : 9780521145770
Focusing on the work of Sir John Kingman, one of the world's leading researchers in probability and mathematical genetics, this book touches on the important areas of these subjects in the last 50 years. Leading authorities give a unique insight into a wide range of currently topical problems. Papers in probability concentrate on combinatorial and structural aspects, in particular exchangeability and regeneration. The Kingman coalescent links probability with mathematical genetics and is fundamental to the study of the latter. This has implications across the whole of genomic modeling including the Human Genome Project. Other papers in mathematical population genetics range from statistical aspects including heterogeneous clustering, to the assessment of molecular variability in cancer genomes. Further papers in statistics are concerned with empirical deconvolution, perfect simulation, and wavelets. This book will be warmly received by established experts as well as their students and others interested in the content.