A conceptual and computational framework for modelling and understanding the nonequilibrium gene regulatory networks of mouse embryonic stem cells

Greaves, Richard Brian, Dietmann, Sabine, Smith, Austin et al. (2 more authors) (2017) A conceptual and computational framework for modelling and understanding the nonequilibrium gene regulatory networks of mouse embryonic stem cells. PLoS Computational Biology. e1005713. ISSN 1553-7358

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Item Type: Article
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©2017 Greaves et al.

Dates:
  • Published: 1 September 2017
  • Accepted: 4 August 2017
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 19 Sep 2017 13:15
Last Modified: 16 Oct 2024 14:03
Published Version: https://doi.org/10.1371/journal.pcbi.1005713
Status: Published
Refereed: Yes
Identification Number: 10.1371/journal.pcbi.1005713
Open Archives Initiative ID (OAI ID):

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Filename: journal.pcbi.1005713.pdf

Description: journal.pcbi.1005713

Licence: CC-BY 2.5

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