Switched latent force models for reverse-engineering transcriptional regulation in gene expression data

López-Lopera, A.F. and Álvarez, M.A. orcid.org/0000-0002-8980-4472 (2017) Switched latent force models for reverse-engineering transcriptional regulation in gene expression data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. ISSN 1545-5963

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Keywords: physics.bio-ph; physics.bio-ph; physics.data-an; stat.ML
Dates:
  • Published (online): 23 October 2017
  • Accepted: 17 October 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 17 Nov 2017 13:50
Last Modified: 28 Jun 2018 14:38
Published Version: http://dx.doi.org/10.1109/TCBB.2017.2764908
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TCBB.2017.2764908
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