Machine learning with R in the Life Sciences

TitleTimeRoomTeacher
Machine learning with R in the Life Sciences17.03.2025 09:00 - 16:00 (Mon)Room 2.98, Gregor-Mendel-Str 2, 85354 FreisingKonstantin Pelz, Prof. Dr. Markus List
Machine learning with R in the Life Sciences18.03.2025 09:00 - 16:00 (Tue)Room 2.98, Gregor-Mendel-Str 2, 85354 FreisingKonstantin Pelz, Prof. Dr. Markus List
Keywords: 
R, Programming, Machine learning
Course Description: 

We will discuss basics for using the R programming language to perform machine learning. Basic skills in R are required, but we will look at machine learning basics together. The goal is to go through the whole process of using machine learning from selecting the right data and method to evaluate the results and improve the model.

Course aims: 
  • Participants understand the basic concepts of what machine learning is
  • Participants are able to choose a fitting machine learning method for their problem and implement a basic version in R
  • Participants know how to improve a method (parameter tuning, boosting)
  • Participants know how to choose and split the input data in a meaningful way
  • Participants know how to choose and split the input data in a meaningful way
Teaching methods: 

Lectures, group work, supervised individual work, presenting their results

This course fits doctoral candidates in the following phase: 

☒ Beginn der Promotion / Beginning of the doctorate
☒ Während der Promotion / During the doctorate
☒ Endphase der Promotion / End of the doctorate

Participation requirements: 

Basic Programming skills in R

Technical requirements: 

Participants need to bring a laptop to work with

Category: 
Fachspezifische Veranstaltung
Event type: 
Seminar/Workshop
Organizer: 
Graduate Center of Life Sciences
Responsibility for event: 
Hauptverantwortung
Format: 
In Präsenz
Course Language: 
EN
Course Capacity (Max): 
14
Course capacity (Min): 
5
Duration in hours: 
12
Trainer: 
Konstantin Pelz, Prof. Dr. Markus List

Konstantin Pelz: Master’s degree in Bioinformatics, study and research stays in Spain, Austria, and the US. Currently Ph.D. Student in „Data Science in Systems Biology“.
Markus List: Professor of Data Science of Systems Biology, his group focuses on using machine learning and data integration approaches to harness and interpret data form system biology.