Contents 2.4.1 Maximized likelihood ratio tests iii Preface xi 1 Basic Molecular Biology for Statistical Genetics and Genomics 1 1.1 Mendelian genetics 1.2 Cell biology 2 1.3 Genes and chromosomes 3 1.4 DNA 5 1.5 RNA 6 1.6 Proteins 7 1.6.1 Protein pathways and interactions 9 1.7 Some basic laboratory techniques 11 1.8 Bibliographic notes and further reading 13 1.9 Exercises 13 2 Basics of Likelihood Based Statistics 15 2.1 Conditional probability and Bayes theorem 15 2.2 Likelihood based inference 16 2.2.1 The Poisson process as a model for chromosomal breaks 17 2.2.2 Markov chains 18 2.2.3 Poisson process continued 19 2.3 Maximum likelihood estimates 21 2.3.1 The EM a1gorithm 26 2.4 Likelihood ratio tests 28
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Contentsodin.ces.edu.co/Contenidos_Web/42013698.pdf · 3.2.2 Simple sequence length polymorphisms (SSLPs) 40 3.2.3 Single nucleotide polymorphisms (SNPs) 40 3.3 Physical mapping of
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Contents
2.4.1 Maximized likelihood ratio tests
iii
Preface xi
1 Basic Molecular Biology for Statistical Genetics and Genomics 1
1.1 Mendelian genetics
1.2 Cell biology 2
1.3 Genes and chromosomes 3
1.4 DNA 5
1.5 RNA 6
1.6 Proteins 7
1.6.1 Protein pathways and interactions 9
1.7 Some basic laboratory techniques 11
1.8 Bibliographic notes and further reading 13
1.9 Exercises 13
2 Basics of Likelihood Based Statistics 15
2.1 Conditional probability and Bayes theorem 15
2.2 Likelihood based inference 16
2.2.1 The Poisson process as a model for chromosomal breaks 17
2.2.2 Markov chains 18
2.2.3 Poisson process continued 19
2.3 Maximum likelihood estimates 21
2.3.1 The EM a1gorithm 26
2.4 Likelihood ratio tests 28
IV CONTENTS
2.5 Empirical Bayes analysis 29
2.6 Markov chain Monte Carlo sampling 30
2.7 Bibliographic notes and further reading 33
2.8 Exercises 33
3 Markers and Physical Mapping 37
3.1 Introduction 37
3.2 Types of markers 39
3.2.1 Restriction fragment length polymorphisms (RFLPs) 40