Workshop Series: Multi-Omics Data Integration in Human Exposome Studies
Supported by Severo Ochoa
04.09.2024
- Data
- 04/09/2024 - 20/11/2024
- Hora
- Wednesdays, 16:30 -17:30 CET
- Lloc
- Virtual
- Ponents
- Anna Young, Arthur Tenenhaus, Augusto Anguita, Congrong Wang, Chris Gennings, Inès Amine, Jesse A. Goodrich, Lea Maitre, Nikolaos Stratakis, Ville Pimenoff, Vishal Midya
This program consisted of 9 sessions spanning over three months, covering different topics related to multi-omics data integration in Human Exposome Studies. The detailed workshop program with further information about each session content can be consulted HERE.
To maximize the impact of this course, all sessions were recorded and are available on YouTube for asynchronous consultation.
Additionally, the materials generated during the course—slides and code—have been compiled HERE, creating a valuable resource for the research community. These resources not only offer lasting value but also allow us to track the long-term impact of the workshop.
Organisers
This workshop series has been organised by Léa Maitre and Augusto Anguita. Please contact Rodney Ortiz (rodney.ortiz@isglobal.org) for any queries or further information.
About the workshop series
The field of exposomics delves into the complex interplay of environmental, social, lifestyle, genetic, and other biological factors and warrants promise to advance precision environmental health. Beyond genetics, the integration of exposomics and multi-omics in epidemiology research can enable a more precise understanding of disease and promote health, especially for the most vulnerable population subgroups.
In this series of virtual workshops, we will introduce novel designs and analytical approaches for multi-omics integration that were recently developed and applied in the exposomics field to address critical data analysis challenges (dimensionality reduction approaches, mediation, predictive modelling, feature selection, networks, etc). The focus is on the practical application of these methods.
Do you want to revisit the course?
Recording for all the sessions have been already uploaded to YouTube, so you can revisit it whenever you want. For accessing slides and codes, please, click HERE or inspect the workshop proceedings HERE.
Introduction, overview, and multi-modal data integration - Session 1, Part 1
Introductory session:
- Introduction to multi-omics data integration challenges in exposome studies - Dr. Léa Maitre
- Overview of approaches - Dr. Augusto Anguita
- Multi-modal data integration through dimensionality reduction: Motivation, concepts and theory - Dr. Arthur Tenenhaus
Introduction, overview, and multi-modal data integration - Session 1, Part 2
Continuation of the following introductory presentation (see video part 1 first)
- Multi-modal data integration through dimensionality reduction: Motivation, concepts and theory - Dr. Arthur Tenenhaus
Dimensionality reduction - Session 2
- Practical aspects of multi-modal data integration through dimensionality reduction (MOFA, PLS, RGCCA, etc). By Inès Amine, Inserm.
- Case studies of multi-omics and exposome data integration through dimensionality reduction in HELIX cohorts. By Congron Wang, UHasselt.
Strategies for Multivariate Mediation Frameworks – Session 3
By Vishal Midya, Icahn School of Medicine at Mount Sinai, New York
Multi-Omic Analysis Framework for Precision Health: Omic mediation analysis in exposome research – Session 4
By Jesse Goodrich, from University of Southern California Keck School of Medicine
Networks visualisation for multi-omics integration – Session 5
By Léa Maitre, ISGlobal
Development of exposome mixture methods for high-dimensional omics data to investigate environmental risk factors of disease – Session 6
By Dr. Chris Gennings from Icahn School of Medicine at Mount Sinai, and Dr. Anna Young from Emory Rollins School of Public Health
Comprehensive biotic exposome estimation from wearable device metagenomes – Session 7
By Dr. Ville Pimenoff, Adjunct Professor in Evolutionary Medicine at the University of Oulu, Finland
Multi-omics and eXplainable Artificial Intelligence (XAI) for predictive purposes: a focus on interpretability and explainability – Session 8
By Dr. Augusto Anguita, a biological data scientist specialised in the analysis of complex epidemiological datasets such as those composed of clinical, omics, biochemical, and environmental data at ISGlobal
Patient similarity networks for the identification of molecular endotypes of obesity – Session 9
By Dr. Nikolaos Stratakis, an Environmental Epidemiologist and Postdoctoral Fellow at the Environmental and Health over the Lifecourse programme at ISGlobal.
Target audience
This workshop is aimed at Master/PhD students, researchers, clinicians, and other professionals working in the fields of exposomics, epidemiology, or toxicology with an interest in understanding how omics data, including the exposome, can be integrated in epidemiological research.
With over 800 people registered, this program achieved an average attendance of ~90 participants per session and more than 2,000 views in our Youtube channel.
With the support of the grant CEX2023-001290-S funded by MCIN/AEI/ 10.13039/501100011033.
