Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves TH1/TFH fate bifurcation in malaria

Lönnberg, T., Svensson, V., James, K.R. et al. (20 more authors) (2017) Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves TH1/TFH fate bifurcation in malaria. Science Immunology, 2 (9). eaal2192. ISSN 2470-9468

Abstract

Metadata

Authors/Creators:
  • Lönnberg, T.
  • Svensson, V.
  • James, K.R.
  • Fernandez-Ruiz, D.
  • Sebina, I.
  • Montandon, R.
  • Soon, M.S.F.
  • Fogg, L.G.
  • Nair, A.S.
  • Liligeto, U.N.
  • Stubbington, M.J.T.
  • Ly, L.-H.
  • Bagger, F.O.
  • Zwiessele, M.
  • Lawrence, N.D. ORCID logo https://orcid.org/0000-0001-9258-1030
  • Souza-Fonseca-Guimaraes, F.
  • Bunn, P.T.
  • Engwerda, C.R.
  • Heath, W.R.
  • Billker, O.
  • Stegle, O.
  • Haque, A.
  • Teichmann, S.A.
Copyright, Publisher and Additional Information: © 2017, American Association for the Advancement of Science. This is an author-produced version of a paper subsequently published in Science Immunology. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Accepted: 23 January 2017
  • Published (online): 3 March 2017
  • Published: 3 March 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7MLPM2012 - 316861
Depositing User: Symplectic Sheffield
Date Deposited: 12 Dec 2019 16:28
Last Modified: 12 Dec 2019 16:34
Status: Published
Publisher: American Association for the Advancement of Science
Refereed: Yes
Identification Number: https://doi.org/10.1126/sciimmunol.aal2192

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