Statistical Inference
in
Bioinformatics
Table of Contents #
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