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Table of Contents
Preface
Lecture
Chapter 0: Prerequisites
Chapter 1: Probability theory
Chapter 2: Discrete random variables
Chapter 3: Continuous random variables
Chapter 4: Multiple random variables
Chapter 5: Estimation theory
Chapter 6: Hypothesis testing
Chapter 7: Multiple tests
Chapter 8: RNA-seq analysis
Chapter 9: Linear regression
Chapter 10: Monte Carlo simulation
Chapter 11: Bootstrap
Chapter 12: Bayesian analysis
Chapter 13: Markov Chains
Chapter 14: Substitution models
Chapter 15: Phylogenetic models
Lab
Lab 1: Introduction to R
Lab 2: Generating random numbers
Lab 3: The law of large numbers
Lab 4: BLAST
Lab 5: Optimization algorithms
Lab 6: Hypothesis testing
Lab 7: Multiple tests
Lab 8: RNA-seq analysis
Lab 9: Linear regression
Lab 10: Monte Carlo simulation
Lab 11: Bootstrap
Lab 12: Markov Chain Monte Carlo algorithm
Lab 13: Markov chains
Lab 14: Substitution models
Lab 15: Phylogenetic tree reconstruction
Repository
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Index
