National course for PhD students, researchers, and other employees across Swedish universities who seek to deepen their biostatistical and machine learning skills. Building on the Introduction to Biostatistics and Machine Learning course, this course expands on common life science data analysis methods, including dimensionality reduction techniques beyond PCA, mixed-effects models for analysis of repeated measures, and survival analysis. We will also dive deeper into machine learning, covering more classification algorithms, ensemble techniques, optimization strategies and PLS methods for single and multi-omics data analysis.

Find out more on the course website

Important dates

Application closes: 2024-10-18
Confirmation to accepted students: 2024-10-25

If you do not receive information according to the above dates please contact edu.ml-biostats@nbis.se

Course fee

A course fee of 3000 SEK for academic participants and 15 000 SEK for non-academic participants will be invoiced to accepted participants. The fee includes lunches, coffee and snacks.

*Please note that NBIS cannot invoice individuals

Course content

• Dimensionality reduction techniques beyond PCA
• Classification algorithm and ensemble techniques
• Machine learning optimization strategies
• PLS-based methods for single and multi-omics data analysis
• Mixed-effects models for repeated measures, longitudinal studies and nested designs
• Survival analysis
• Introduction to neural networks

Education

In this course, we focus on an active learning approach. The education consists of teaching blocks alternating between lectures, group discussions, live coding sessions etc.