📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs). (2024)

First Author: Chung MK

Attributed to: MRC Centre for Environment and Health funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/exposome/osae001

PubMed Identifier: 38344436

Publication URI: http://europepmc.org/abstract/MED/38344436

Type: Journal Article/Review

Volume: 4

Parent Publication: Exposome

Issue: 1

ISSN: 2635-2265