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

Click to filter author papers

Bioengineering· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioengineering

D. Liu

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioengineeringbioRxivPreprintOct 15, 2023

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

M. Cortesi, D. Liu, E. Powell…·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.

DOI 10.1101/2023.10.15.562411

humanimaging

𝕏 PostBluesky

BioengineeringbioRxivMay 17, 2023

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

M. Cortesi, D. Liu, C. Yee…·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.

DOI 10.1038/s41598-023-42486-3

statistical modelbenchmark study

𝕏 PostBluesky