Author

J. Dinny Graham

The University of SydneyORCID 0000-0002-0269-0493Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1 Assay:proteomics· 1

Frequent Co-Authors

Adel T. ArefiD· 1 shared Adnan M. NagrialiD· 1 shared Adriana Aguilar‐MahechaiD· 1 shared Alexander SwarbrickiD· 1 shared Anna DeFazioiD· 1 shared Anthony James GilliD· 1 shared Beilei BianiD· 1 shared Benedict James PanizzaiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

Adel T. ArefORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedSep 1, 2025

Spatial gene expression at single-cell resolution from histology using deep learning with GHIST

Xiaohang Fu, Yue Cao, Beilei Bian…·Jean Yee Hwa Yang

GHIST predicts spatial gene expression at single-cell resolution from histology images, showing superior performance across different resolutions and datasets.

43 citationstop 1%

humanspatial transcriptomics

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Cancer BiologyCancer DiscoveryPeer-reviewedJun 9, 2025

Federated deep learning enables cancer subtyping by proteomics

Zhaoxiang Cai, Emma L. Boys, Zainab Noor…·Roger R. Reddel

ProCanFDL uses federated deep learning to subtype cancers using proteomic data while preserving privacy, achieving performance gains over local models.

18 citationstop 3%

humanproteomics

𝕏 PostBluesky