Sessions 2 and 3: Integrating multi-omics data with multi-level matrix factorisation

Contenu	HTML	pdf	Rmd	R
Presentation Laura Cantini		Slides
Presentation Sébastien Dejean et Jérôme Mariette		Slides
MixOmics		Slides		R
Practical MOFA	html		Rmd
Practical mixKernel	html		Rmd

Teachers: Sébastien Déjean, Jérôme Mariette et Laura Cantini

Concepts:

• Integrative bioinformatics approaches and their application to cancer (Laura Cantini)
  - Motivation
  - Which approach to answer which question (subsetting, modules, pathways) ?
  - Main methodologies: networks, matrix factorisation
• Principles of multi-level matrix factorisation (Sébastien Déjean)
• Kernel-based approaches (Jérôme Mariette)

Practical:

• mixOmics
• JM tools (please specify)

Datasets:

• Chronic Lymphoblastic Leukemia (CLL)
• metagenomics data (Jérôme Mariette)