Online workshop series "Multi-omics data integration"

In the third workshop “predictive multi-omics biomarker signatures”, -omics clocks and -omics risk scores will be highlighted.

Patrick Deelen (UMCU & UMCG) will show how to use genetics and RNA-seq to prioritize the important genes of common diseases and traits.
Gennady Roshchupkin (Erasmus MC) will discuss the latest development in AI technologies (machine learning and deep learning) in application to various omics data.
Erik van den Akker (LUMC) will show how the blood metabolome incorporates cues from the environment and the host’s genetic background, potentially offering a holistic view of an individual’s health status.

On https://x-omics.nl/all-training-schools/2-uncategorised/143-workshop-series-2, you can find all presentations in PDF and more information about the speakers.
For more X-omics events go to https://x-omics.nl/training/see-all-events
Feel free to contact our helpdesk if you have any questions: https://x-omics.nl/helpdesk

This workshop series is a collaboration of X-omics, BBMRI-NL, Health-RI and Eatris-Plus

Agenda:
0:00:00 Welcome by Joyce van Meurs (ErasmusMC)
0:01:18 Patrick Deelen (UMCU & UMCG): "Reconciling GWAS and Mendelian genetics through core-gene identification using Downstreamer".
0:28:59 Gennady Roshchupkin (Erasmus MC): "Artificial Intelligence and multi-omics data: Better, Faster, Stronger".
1:02:12 Erik van den Akker (LUMC): "Metabolomics-based predictors as markers of health and disease".