Decoding cellular population dynamics through mechanistic modelling and statistical data analysis

Alachkar, N., Opoku, N.K.-D.O., Monk, N.A.M. orcid.org/0000-0002-5465-4857 et al. (1 more author) (2026) Decoding cellular population dynamics through mechanistic modelling and statistical data analysis. npj Systems Biology and Applications, 12 (1). 73. ISSN: 2056-7189

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© The Author(s) 2026. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Models, Biological; Humans; Cell Communication; Animals
Dates:
  • Submitted: 19 December 2025
  • Accepted: 15 May 2026
  • Published (online): 25 May 2026
  • Published: 25 May 2026
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences
Date Deposited: 14 Jul 2026 07:40
Last Modified: 14 Jul 2026 07:40
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1038/s41540-026-00751-x
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics