Author

C. E. Ford

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

D. Liu· 2 shared M. Cortesi· 2 shared C. Yee· 1 shared D. J. Marsh· 1 shared E. Barlow· 1 shared E. Powell· 1 shared K. Warton· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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2 shared papersBioengineering

D. Liu

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2 papers

Recent·Most cited

Accurate identification of cancer cells in complex pre-clinical models using deep-learning: a transfection free approach.

M. Cortesi, D. Liu, E. Powell, E. Barlow, K. Warton, C. E. Ford

ORACLE, a deep-learning model, accurately identifies ovarian cancer cells from healthy cells in 3D co-cultures using nuclear shape, outperforming existing methods.

bioRxiv · Oct 15, 2023 · PreprintBioengineering

Model Parameter identification using 2D vs 3D experimental data: a comparative analysis

M. Cortesi, D. Liu, C. Yee, D. J. Marsh, C. E. Ford

This paper compares parameter estimation in a computational model of ovarian cancer using 2D and 3D experimental data to assess the impact of experimental settings on model calibration and validation.

bioRxiv · May 17, 2023Bioengineering