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. ISSN 0009-7330

Abstract

Metadata

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. 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:
  • Accepted: 18 January 2019
  • Published (online): 21 January 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Funding Information:
FunderGrant number
BRITISH HEART FOUNDATIONFS/13/48/30453
BRITISH HEART FOUNDATIONPG/11/116/29288
Depositing User: Symplectic Sheffield
Date Deposited: 31 Jan 2019 11:11
Last Modified: 21 Jul 2019 00:43
Published Version: https://doi.org/10.1161/CIRCRESAHA.118.313911
Status: Published online
Publisher: American Heart Association
Refereed: Yes
Identification Number: https://doi.org/10.1161/CIRCRESAHA.118.313911
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