Machine Learning for Genomics and Genetics

Introductory Course for Machine Learning and its applications in genomics and genetics for the 2nd International Summer School in Functional Genomics at the Center for Computational and Theoretical Biology of the University of Würzburg (https://www.biozentrum.uni-wuerzburg.de/cctb/teaching/summerschools/2018-functional-genomics/).

Content of the Course

1. Foundations of Machine Learning
2. Introduction into basic regression and classification models (Linear and Ridge Regression, Support Vector Machine)
3. Real-World Applications of ML in Genomics and Genetics
4. Tutorial: How to use Python with Scikit-Learn (hands-on)

Slides for the course can be found in the sub-folder slides, or under the following link: Slides.

Tutorial

The data and code snippet for the hands-on tutorial can be found in the subfolder tutorial (Link).
The solutions will be uploaded to the same subfolder after the end of the course.

For the tutorial the programming language Python is used (Version 3). The following packages are used for the tutorial:

• SciPy
• Matplotlib
• Scikit-Learn