Author

Harry R. Deijnen

Manchester Academic Health Science CentreORCID 0000-0002-6605-8745Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

John R. GraingeriD· 1 shared Magnus RattrayiD· 1 shared Rufus H. DawiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

John R. GraingerORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 5, 2026

CellTypeAI: Automated cell identification for scRNA-seq using local generative-AI

Rufus H. Daw, Harry R. Deijnen, Magnus Rattray, John R. Grainger

CellTypeAI improves scRNA-seq cell type annotation by using local generative-AI models, outperforming conventional and cloud-based methods in accuracy and sensitivity.

DOI 10.64898/2026.03.03.709253

scRNA-seqdeep learning

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