Workshops and courses
Integrating multi-omics data using MOFA2
Date: No date given
Language of instruction: English
This training introduces participants to Multi-Omics Factor Analysis (MOFA2), a statistical framework for the unsupervised integration of multiple omics datasets (Argelaguet et al., 2020). Through this course, you will learn how to run MOFA2 on bulk and single-cell multi-omics data, interpret the factors driving variation across modalities, and apply the results to downstream analyses such as clustering, regression, and classification.
Keywords: Artificial Inteligence, omics
Learning objectives:
- and classification”
- regression
- “Apply MOFA2 results to downstream tasks such as clustering
- “Explore options for handling missing values and comparing multiple model fits”
- “Interpret MOFA2 factors and assess their biological relevance”
- “Prepare and preprocess data for MOFA2 analysis”
Organizer: VIB
Event types:
- Workshops and courses
Activity log
