About the event:

Increasingly large scale studies collect multiple different types of biological marker data ('omics' data) on the same set of people, enabling researchers to study different stages of disease in the same person. There is an increasing need for analysis methods capable of dealing with data from multiple platforms and biomarker types, which can account for the complex relations between molecular and other risk factors. 

Speakers:

Manuela Zucknick (University of Oslo) 
Multivariate structured Bayesian variable selection for treatment prediction in pharmacogenomic screens

Ernest Diez Benavente (LSHTM)
A molecular barcode to inform the geographical origin and transmission dynamics of Plasmodium vivax malaria

Ricard Argelaguet (European Bioinformatics Institute)
MOFA: a principled framework for the unsupervised integration of multi-omics data

Paul Kirk (MRC Biostatistics Unit, Cambridge)
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