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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 
,
Huw Summers ,
Lewis Francis ,
Paul Rees
,
Huw Summers ,
Lewis Francis ,
Paul Rees
Frontiers in Bioinformatics, Volume: 1
Swansea University Authors:
David James, Rowan Brown , Huw Summers , Lewis Francis , Paul Rees
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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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DOI (Published version): 10.3389/fbinf.2021.662210
Abstract
Data Driven Cell Cycle Model to Quantify the Efficacy of Cancer Therapeutics Targeting Specific Cell-Cycle Phases From Flow Cytometry Results
| Published in: | Frontiers in Bioinformatics |
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| ISSN: | 2673-7647 |
| Published: |
Frontiers Media SA
2021
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa56655 |
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| Keywords: |
cell-cycle, cancer, therapeutic, model, differential-evolution, flow-cytometory |
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| College: |
Faculty of Medicine, Health and Life Sciences |
| Funders: |
UKRI, EP/N013506/1 |