Author

Richard M. Parton

University of OxfordORCID 0000-0002-2152-4271Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:Drosophila· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Ilan DavisiD· 2 shared Dominic WaitheiD· 1 shared Elizabeth J. RobertsoniD· 1 shared Ita CostelloiD· 1 shared Jonathan U. HarrisoniD· 1 shared Lu Yang· 1 shared Martin HailstoneiD· 1 shared Ruth E. BakeriD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersDevelopmental Biology

Ilan DavisORCID

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2 papers

Recent·Most cited

Testing models of mRNA localization reveals robustness regulated by reducing transport between cells

Jonathan U. Harrison, Richard M. Parton, Ilan Davis, Ruth E. Baker

The paper models mRNA localization in Drosophila egg chambers and finds that transport saturation contributes to robustness against mRNA synthesis variation.

Biophysical Journal · Oct 24, 2019Peer-reviewedDevelopmental Biology

CytoCensus: mapping cell identity and division in tissues and organs using machine learning

Martin Hailstone, Dominic Waithe, Tamsin J. Samuels, Lu Yang, Ita Costello, Yoav Arava, Elizabeth J. Robertson, Richard M. Parton, Ilan Davis

CytoCensus is a machine learning tool for automated cell detection and division quantification in complex 3D tissues, outperforming existing software in accuracy and speed.

bioRxiv · Aug 16, 2019 · PreprintDevelopmental Biology