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Mathematical and Statistical Methods for Genetic Analysis

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Cover of 'Mathematical and Statistical Methods for Genetic Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Basic Principles of Population Genetics
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    Chapter 2 Counting Methods and the EM Algorithm
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    Chapter 3 Newton’s Method and Scoring
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    Chapter 4 Hypothesis Testing and Categorical Data
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    Chapter 5 Genetic Identity Coefficients
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    Chapter 6 Applications of Identity Coefficients
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    Chapter 7 Computation of Mendelian Likelihoods
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    Chapter 8 The Polygenic Model
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    Chapter 9 Descent Graph Methods
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    Chapter 10 Molecular Phylogeny
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    Chapter 11 Radiation Hybrid Mapping
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    Chapter 12 Models of Recombination
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    Chapter 13 Sequence Analysis
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    Chapter 14 Poisson Approximation
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    Chapter 15 Diffusion Processes
Attention for Chapter 4: Hypothesis Testing and Categorical Data
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