Discovery of distinct immune phenotypes using machine learning in pulmonary arterial hypertension

Sweatt, A.J., Hedlin, H.K., Balasubramanian, V. et al. (11 more authors) (2019) Discovery of distinct immune phenotypes using machine learning in pulmonary arterial hypertension. Circulation Research, 124 (6). pp. 904-919. ISSN 0009-7330

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Sweatt, A.J.
  • Hedlin, H.K.
  • Balasubramanian, V.
  • Hsi, A.
  • Blum, L.K.
  • Robinson, W.H.
  • Haddad, F.
  • Hickey, P.M.
  • Condliffe, R.A.
  • Lawrie, A. ORCID logo https://orcid.org/0000-0003-4192-9505
  • Nicolls, M.R.
  • Rabinovitch, M.
  • Khatri, P.
  • Zamanian, R.T.
Copyright, Publisher and Additional Information:

© 2019 Circulation Research. This is an author produced version of a paper subsequently published in Circulation Research. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Cytokines and growth factors; machine learning; phenotype; proteomics
Dates:
  • Published: 15 March 2019
  • Published (online): 21 January 2019
  • Accepted: 18 January 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
Funder
Grant number
BRITISH HEART FOUNDATION
FS/13/48/30453
BRITISH HEART FOUNDATION
PG/11/116/29288
Depositing User: Symplectic Sheffield
Date Deposited: 31 Jan 2019 11:11
Last Modified: 16 Nov 2021 13:55
Status: Published
Publisher: American Heart Association
Refereed: Yes
Identification Number: 10.1161/CIRCRESAHA.118.313911
Related URLs:
Open Archives Initiative ID (OAI ID):

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