Using MOFA for integration of omics data
General context
This training provides an introduction to Multi-Omics Factor Analysis (MOFA) for the integration of different omic data sets in an unsupervised fashion. It will enable you to run MOFA on multi-omic data, identify and explore the major drivers of variations across omics and use the inferred factors in various downstream analyses.
- What kind of preprocessing of the data is required for MOFA?
- How to train MOFA on a multi-omic data set?
- How to interpret the MOFA factors by their loadings, using gene set enrichment or sample ordination?
- How to use MOFA for downstream analyses including regression, classification or clustering?
- How to impute missing values with MOFA?
- How to select the number of factors and compare different MOFA fits?
Familiarity with R and RStudio.
MOFA (Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets) - http://msb.embopress.org/content/14/6/e8124
Trainers
Ricard Argelaguet
After his PhD in the groups of John Marioni (EMBL-EBI, now at Genentech) and Oliver Stegle (EMBL & DKFZ), followed by a short postdoctoral stay in the group of Wolf Reik at the Babraham Institute, Ricard developed methods for single-cell and multi-omics data integration, the most popular one being MOFA. Currently, he's working as a Senior Scientist at Altos Labs in the AI/ML team, where he works on modelling gene perturbation screenings to characterise the regulatory networks that underlie cellular rejuvenation programming.
Program
TBC
Practical info
Leuven - Park Inn by Radisson
Martelarenlaan 36
3010 Leuven
Belgium
Leuven - Park Inn by Radisson
The hotel is located 300m from Leuven Central Station, just a short 5 minute walk.
Leuven - Park Inn by Radisson
Using your bike for longer distances? Check Cycle Highways.
Leuven - Park Inn by Radisson
Underground P1-Parking Station Leuven, Martelarenlaan 4, 3010 Leuven or parking De Bond, Martelarenlaan 18, 3010 Leuven.
Leuven - Park Inn by Radisson
+32 16 61 66 02
sales.leuven@parkinn.com
- This course is free for VIB participants
- Registration fee for non-VIB academics is 50 Euro.
- Registration fee for non-VIB academics is 300 Euro.
- Note that upon no show without valid justification you will be blacklisted for the VIB training program for 1 year. Click here for more information.