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Data Driven Cell Cycle Model to Quantify the Efficacy of Cancer Therapeutics Targeting Specific Cell-Cycle Phases From Flow Cytometry Results

David James, Andrew Filby, Rowan Brown Orcid Logo, Huw Summers Orcid Logo, Lewis Francis Orcid Logo, Paul Rees Orcid Logo

Frontiers in Bioinformatics, Volume: 1

Swansea University Authors: David James, Rowan Brown Orcid Logo, Huw Summers Orcid Logo, Lewis Francis Orcid Logo, Paul Rees Orcid Logo

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    Copyright © 2021 James, Filby, Brown, Summers, Francis and Rees. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY)

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Published in: Frontiers in Bioinformatics
ISSN: 2673-7647
Published: Frontiers Media SA 2021
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa56655
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Keywords: cell-cycle, cancer, therapeutic, model, differential-evolution, flow-cytometory
College: Faculty of Medicine, Health and Life Sciences
Funders: UKRI, EP/N013506/1