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Mathematical and Statistical Methods for Genetic Analysis - Kenneth Lange

Mathematical and Statistical Methods for Genetic Analysis

(Autor)

Buch | Softcover
370 Seiten
2012 | Softcover reprint of the original 2nd ed. 2002
Springer-Verlag New York Inc.
978-1-4684-9556-0 (ISBN)
CHF 127,30 inkl. MwSt
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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.

Basic Principles of Population Genetics.- Counting Methods and the EM Algorithm.- Newton's Method and Scoring.- Hypothesis Testing and Categorical Data.- Genetic Identity Coefficients.- Applications of Identity Coefficients.- Computation of Mendelian Likelihoods.- The Polygenic Model.- Descent Graph Models.- Molecular Phylogeny.-  Radiation Hybrid Mapping.- Models of Recombination.- Sequence Analysis.- Poisson Approximation.- Diffusion Processes.

Erscheint lt. Verlag 1.8.2012
Reihe/Serie Statistics for Biology and Health
Zusatzinfo XVIII, 370 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Statistik
Medizin / Pharmazie Medizinische Fachgebiete
Studium 2. Studienabschnitt (Klinik) Humangenetik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
ISBN-10 1-4684-9556-9 / 1468495569
ISBN-13 978-1-4684-9556-0 / 9781468495560
Zustand Neuware
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