Using MOFA for integration of omics data

Goals

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.

Summary

We will cover the following topics:

  • 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? 

Requirements

Familiarity with R and RStudio. ​​​

Dates:

3 May 2019, from 9h30 to 17h00

Location:

Leuven
Park Inn by Radisson Leuven
Martelarenlaan 36
3010 Leuven

Trainer:

Ricard Argelaguet (EMBL)
Registration is closed.

Registration start date:

26 November 2018

Registration end date:

19 April 2019