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

We're improving UKRI's Gateway to Research and are seeking your input! Tell us what works, what doesn't, and how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community. Please send your feedback to gateway@ukri.org by 11 August 2025.

Features of asthma which provide meaningful insights for understanding the disease heterogeneity. (2018)

First Author: Deliu M

Attributed to: Unified probabilistic latent variable modelling strategies to accelerate endotype discovery in longitudinal studies funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1111/cea.13014

PubMed Identifier: 28833810

Publication URI: http://europepmc.org/abstract/MED/28833810

Type: Journal Article/Review

Volume: 48

Parent Publication: Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology

Issue: 1

ISSN: 0954-7894