Physically-inspired Gaussian process models for post-transcriptional regulation in Drosophila

Lopez-Lopera, A.F., Durrande, N. and Alvarez, M.A. (2021) Physically-inspired Gaussian process models for post-transcriptional regulation in Drosophila. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (2). pp. 656-666. ISSN 1545-5963



  • Lopez-Lopera, A.F.
  • Durrande, N.
  • Alvarez, M.A.
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Keywords: Mathematical model; diffusion equation; regulatory networks; stochastic processes; gap gene expression data
  • Accepted: 18 May 2019
  • Published (online): 27 May 2019
  • Published: 1 April 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Science Research Council (EPSRC)EP/R034303/1
Depositing User: Symplectic Sheffield
Date Deposited: 30 Sep 2019 15:04
Last Modified: 12 May 2021 07:25
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number:
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