Lecture notes
Slides
Lecture notes and slide copies will be added when the course starts.
- Day 1. Introduction to statistical methods for high-dimensional data, linear models and regularization methods Correction for multiple comparisons, Penalized regression, and Principal component analysis
- Day 2. Network biology. Slides are here and here. Also see the papers by Szklarczyk et al (2019) and Doncheva et al (2018)
- Day 3. Genome-wide associations tests and extensions
- Day 4. Advanced correlations, zero-inflated models, compositional data, integrative data analysis case
- Day 5. Analysis of RNA sequencing data
Exercises
- Day 1. Exercises for day 1 and solution suggestion
- Day 2. Exercises for day 2](http://jensenlab.org/training/string/), here and here
- Day 3. Exercises for day 3
- Day 4. Exercises for day 4. Solution that also cover day 3 somewhat
- Day 5. Exercises for day 5 and rmd-file
Textbook
We will not be following a specific textbook through the course. However, the following book is highly recommended:
- This book is based on the same approaches we teach in the course but
goes further and tries to explain several extra topics in more detail.
Highly recommended.
Claus Ekstrøm 2024