Author

Rachel Ding

Primary ORCID profile (0009-0002-1806-5286 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Rachel DingiD1 paper · University Health Network

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

David Van ValeniD· 1 shared Edward Pao· 1 shared Enrico Borba· 1 shared Erick MoeniD· 1 shared Geneva MilleriD· 1 shared Morgan Sarah SchwartziD· 1 shared Tom DoughertyiD· 1 shared William GrafiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

David Van ValenORCID

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1 paper

Recent·Most cited

Caliban: Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning

Morgan Sarah Schwartz, Erick Moen, Geneva Miller, Tom Dougherty, Enrico Borba, Rachel Ding, William Graf, Edward Pao, David Van Valen

Human-in-the-loop labeling of nuclear live-cell movies produced DynamicNuclearNet (over 2,621 divisions); Caliban, a tracker trained on it, beat four published trackers at division detection.

bioRxiv · Aug 7, 2024 · PreprintBioinformatics✦ In-depth digest