📣 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.

Challenges in interpreting allergen microarrays in relation to clinical symptoms: a machine learning approach. (2014)

First Author: Prosperi MC

Attributed to: Health e-Research Centre -HeRC funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1111/pai.12139

PubMed Identifier: 24131308

Publication URI: http://europepmc.org/abstract/MED/24131308

Type: Journal Article/Review

Volume: 25

Parent Publication: Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology

Issue: 1

ISSN: 0905-6157