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Statistics for Biology and Health

Mathematical and Statistical Methods for Genetic Analysis

Authors: Lange, Kenneth

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  • ISBN 978-1-4757-2739-5
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About this book

During the past decade, geneticists have constructed detailed maps of the human genome and cloned scores of Mendelian disease genes. They 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 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 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 includes many topics currently accessible only in journal articles, including pedigree analysis algorithms, Markov chain Monte Carlo methods, reconstruction of evolutionary trees, radiation hybrid mapping, and models of recombination. Exercise sets are included.
Kenneth Lange is Professor of Biostatistics and Mathematics and the Pharmacia & Upjohn Foundations Research Professor at the University of Michigan. He has held visiting appointments at MIT and Harvard. His research interests include human genetics, population modeling, biomedical imaging, computational statistics, and applied stochastic processes.

Table of contents (13 chapters)

  • Basic Principles of Population Genetics

    Lange, Kenneth

    Pages 1-18

  • Counting Methods and the EM Algorithm

    Lange, Kenneth

    Pages 19-34

  • Newton’s Method and Scoring

    Lange, Kenneth

    Pages 35-51

  • Hypothesis Testing and Categorical Data

    Lange, Kenneth

    Pages 52-69

  • Genetic Identity Coefficients

    Lange, Kenneth

    Pages 70-84

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-1-4757-2739-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Mathematical and Statistical Methods for Genetic Analysis
Authors
Series Title
Statistics for Biology and Health
Copyright
1997
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4757-2739-5
DOI
10.1007/978-1-4757-2739-5
Series ISSN
1431-8776
Edition Number
1
Number of Pages
XII, 265
Topics