This second edition updates the first with the many advances in the rapidly growing field of genetics. It provides a nice treatment of the mathematical and stochastic models that are useful in genetic studies.It is a little disappointing that it does not go into the microarray technology that has be
Mathematical and Statistical Methods for Genetic Analysis
β Scribed by Kenneth Lange (auth.)
- Publisher
- Springer New York
- Year
- 1997
- Tongue
- English
- Leaves
- 277
- Series
- Statistics for Biology and Health
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Front Matter....Pages i-xii
Basic Principles of Population Genetics....Pages 1-18
Counting Methods and the EM Algorithm....Pages 19-34
Newtonβs Method and Scoring....Pages 35-51
Hypothesis Testing and Categorical Data....Pages 52-69
Genetic Identity Coefficients....Pages 70-84
Applications of Identity Coefficients....Pages 85-101
Computation of Mendelian Likelihoods....Pages 102-122
The Polygenic Model....Pages 123-141
Markov Chain Monte Carlo Methods....Pages 142-163
Reconstruction of Evolutionary Trees....Pages 164-182
Radiation Hybrid Mapping....Pages 183-205
Models of Recombination....Pages 206-227
Poisson Approximation....Pages 228-244
Back Matter....Pages 245-265
β¦ Subjects
Statistical Theory and Methods; Mathematical and Computational Biology; Human Genetics
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