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Mathematical and Statistical Methods for Genetic Analysis (Statistics for Biology and Health) - Tapa dura

Libro 5 de 69: Statistics for Biology and Health

Lange, Kenneth

 
9780387953892: Mathematical and Statistical Methods for Genetic Analysis (Statistics for Biology and Health)
Tapa dura
ISBN 10: 0387953892 ISBN 13: 9780387953892
Editorial: Springer, 2003

Sinopsis

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.

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Acerca del autor

Kenneth Lange is the Rosenfeld Professor of Computational Genetics at UCLA. He is also Chair of the Department of Human Genetics and Professor of Biomathematics and Statistics. At various times during his career, he has held appointments at the University of New Hampshire, MIT, Harvard, the University of Michigan, the University of Helsinki, and Stanford. He is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Institute for Medical and Biomedical Engineering. His research interests include human genetics, population modeling, biomedical imaging, computational statistics, and applied stochastic processes. Springer previously published his books Mathematical and Statistical Methods for Genetic Analysis, Numerical Analysis for Statisticians, and Applied Probability, all in second editions.

De la contraportada

During the past decade, geneticists have cloned scores of Mendelian disease genes and constructed a rough draft of the entire human genome. The unprecedented insights into human disease and evolution offered by mapping, cloning, and sequencing will transform medicine and agriculture. This revolution depends vitally on the contributions of applied mathematicians, statisticians, and computer scientists. Mathematical and Statistical Methods for Genetic Analysis is written to equip 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 population genetics, gene mapping, risk prediction, testing of epidemiological hypotheses, molecular evolution, and DNA sequence analysis. Many specialized topics are covered that are currently accessible only in journal articles. This second edition expands the original edition by over 100 pages and includes new material on DNA sequence analysis, diffusion processes, binding domain identification, Bayesian estimation of haplotype frequencies, case-control association studies, the gamete competition model, QTL mapping and factor analysis, the Lander-Green-Kruglyak algorithm of pedigree analysis, and codon and rate variation models in molecular phylogeny. Sprinkled throughout the chapters are many new problems.

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Editorial
Springer
Año de publicación
2003
Idioma
Inglés
ISBN 10 
0387953892
ISBN 13 
9780387953892
Encuadernación
Tapa dura
Número de páginas
370
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

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